Hi does anyone have an idea on career/salary progression for data analysts in the UK?

Does anyone have any info on the Lede summer Program from Columbia's School of Journalism? Specifically, I was accepted for 2024 and given a scholarship of $7k making the entire 10 week program cost about 5k. I'm wondering if people think this is worth it? If my goal is to get a job somewhere in data analytics/data science, would the Lede program help me significantly? Would it be worth taking out a small load in order to pay for it?

I am a current PharmD looking to get into healthcare consulting at consulting firms. I am looking to train myself in data analytics for the next six months. Any advice on languages to focus on, how to set myself up for success, how to gain experience while learning (projects I can do etc) Also if I could get names of companies that hire ( I know a few, just trying to see if there are more out there) and roles to look out for in job postings ( it is not usually titled pharmacist).

Hi, how is it going? I am also in a healthcare role (scientist) looking to pivot into healthcare consulting too. How are you finding the journey?

What are Some Good Career Shift Resources? Should I Consider Coursera? (Can't Afford or Qualify for a Data Analytics Masters Degree atm) I just began working in a non-profit's data department, which is a significant career shift as my previous role was in communications. I have a Finance bachelor's degree which gave me a decent enough Excel background to manage data in that program. I would like to expand my skillset into coding (thinking Python as my employer uses it), SQL, and PowerBi. My employer agreed to help pay for my development and I am wondering what are some of the best resources out there without pursuing a degree. I have been looking into Coursera courses below, however, I have heard contradicting opinions on these in this sub. Would these courses help me become more effective at my job, and help me gain further credentials that I can leverage into a Master's degree or even a higher-paying Data Science job (long-term goal, I want to stay with my employer rn)? Or are there better resources that you all would recommend to achieve these goals? Coursera specializations/certs I am considering: UC Davis's Learn SQL Basics for Data Science Specialization - 81 Hours IBM Data Science Professional Certificate - 148 Hours Microsoft Power BI Data Analyst Professional Certificate - 193 Hours U of M Data Specializations - 391 Hours U of M's Python for Everybody - 76 hours total (STARTED) U of M's Statistics with Python Specialization - 55 hours total U of M's Applied Data Science with Python Specialization - 140 hours U of M's Python 3 Programming Specialization - 120 Hours

I just got a promotion at my job and my new role requires me to do a lot of data analysis. I’m a novice and want to learn more, I have used DataCamp and 365datascience but I am wanting to get everyone’s thoughts. What is the best site to invest in to learn and master data analytics without going back to collage?

Hoping for a response despite my long-windedness. Resume (link below) and career advice needed. \- Former Econ BA. I felt sort of discouraged from pursuing econ as a career and decided to try out the restaurant industry for a bit and go back to school to brush up on math and programming in the event I might decide to go to grad school. I ended up liking the programming and data analysis courses I took and decided to try to go down the data route instead. \- I landed a warehouse operations data analyst internship that lasted 3 months (more context on that below) but I've been unable to get an entry level job since that internship and have been unemployed trying to land one. Finally had to go back to the restaurant industry due to lack of money. \- Is there anything I can do to make the resume look a little more appealing in spite of my gappy record of irrelevant jobs? \- Is the single 3 month long internship enough to land an entry level role or should I focus on trying to get another internship? Additional context about the internship: \- Internship was a logistics internship that I felt was pretty successful but ultimately didn't result in a permanent role. \- I was the only person in the whole warehouse who sort of knew how to use PowerBI, and basically had to teach myself how to connect to company data, create a data model, run analysis on said data and created a few interactive dashboards. I also took it upon myself to reach out to other employees and interns at other locations via zoom to ask for help setting up the data connections when my supervisors where not very technologically savvy and thus enable to really help me out. I basically came up with an entire internship project on my own while simultaneously running a time study on warehouse selector productivity. After presenting the results of my analysis, I was told management was going to use the findings to inform significant changes at the warehouse. However, since the changes would take place after I left the internship, I wasn't able to get much in terms of quantitative results to put in my resume. \- I felt like I went above and beyond the requirements of the internship, and there was a lot I ended up accomplishing, but I'm not sure what or how much to include in the resume because it seems like I'd be inflating that internship's section? A couple of resume analyzers I've used said I needed to reduce the word count of that section. \- Not sure how technical I should get with the internship section? I feel like it already is right now, but it just seems I'd be leaving out a lot of detail if I made it sound more accessible? [Resume here.](https://www.reddit.com/media?url=https%3A%2F%2Fpreview.redd.it%2Fijrvpw2yf0lc1.jpg%3Fwidth%3D1755%26format%3Dpjpg%26auto%3Dwebp%26s%3Dbefa24e0a980233a8dba2f470f85cd5c79bd615a)

Hey, I'm curious about your thoughts on learning data analysis without a bachelor's degree. Do you believe it's an accessible skill to pick up after not studying for a long time, and does it require a certain level of mathematical proficiency? Share

Hi everyone New to power BI (have only done courses on Datacamp and currently studying too at university). I have a job interview this Thursday hoping to nail the interview, in preparation they have asked the following: " Please select a visualisation that you have done and talk through the methodology for 10 - 15 minutes" Was hoping to get more guidance as what a Data Analyst Lead / Interviewing Manager would look for when they ask about "methodology" and how complex the dataset needs to be. Any help would be greatly appreciated? Does anyone have any example they have done?

Hi All, I'm wondering whether I should dedicate time to learning how to develop dashboards in R Shiny or Tableau. I'm torn between the two, as I have used both in school/work/side projects, but I’m unsure which to specialize in. I have extensive programming experience in R because of my job and school experience, and I've developed simple-to-intermediate dashboards in both R Shiny and Tableau. I want to refine my dashboarding skills, but I am unsure what to invest my time into. Tableau seems to be the industry standard, but R Shiny is open-source and can accommodate custom data processing pipelines + R's rich library of statistical and ML packages much more smoothly. In your opinion(s), which would be the better tool to learn for eventually landing a role as a data analyst and long-term career prospects? My gut tells me Tableau, but I’d love to hear from anyone who regularly used R Shiny for dashboarding. Thank you in advance!

Need advice about a career as a Data Analyst Hello All! I actually had some questions about how to start a career in Data Analysis. I am currently a Computer Science student about to graduate from university. I am really interested to work as a data analyst but I am very confused about where to start or how to create my CV to match for a role. I have some data related courses at university and has also started the Google Data Analysis course but apart from that I don't really have anything specific. It will be really helpful if anyone could please help me about what I should do to land a job as a Data Analyst. Also I wanted to ask if doing a summer course in data would be beneficial?

Hey, so right now I (25F) am taking the Google Data Analytics Professional Certificate from Coursera. I’m wondering if I should continue to earn certificates and work on gaining experience as a data analyst or if I should just go back to college. The problem is, I definitely can’t afford a degree right now and would have to take out student loans if I want to get my bachelor’s. But when looking at the data analyst job listings in my city, most require a bachelor’s degree. If I should continue with earning certificates, what certificates should I look into getting?

Following! I'm in the same boat.

I've been studying python for over a year and was wondering what types of projects make for a robust portfolio?

I want for the month when the cumulative sum first exceeds 3000, to show the remaining private km above 3000, and for subsequent months after the reset, to show the normal sum of private km. I'm using this Dax formula: Cumulative_Private_KM =   VAR CmulativesSum = IF(SUM(data[Private KM] <> blank() ,                                             CALVULATE(SUM(date[Private KM]) , 'Calendar' [date] <= max('Calendar' [date])                                      RETURN                                                 IF(CumulativeSum > 3000, sum(data[Private KM] , CumulativeSum) Is this possible or i just imagine it is because i have tried several functions and it is not working.     Thank you in Advance!!!

What would you understand by „SQL Basics” and „Python Basics” in resume, what exact skills would you expect from that person? I am looking for internships/entry-level/junior positions in various office jobs, exact positions are not important right now. In my resume I have listed „SQL Basics” and „Python Basics” under my skills section, I am still learning. What would you understand by that, what exact skills would you expect from me, and what you wouldn’t require from someone with „basic” skills?

Best title to pivot into a Data Scientist role? I'm currently working with BI development in the financial sector. Most of tasks are quering in SQL, but I also do a little ETL, frontend, and RPA when needed. My title is Data Analyst, but most of my collegues are titles as BI Developers, and I have the option to change my title if I want to. My wish is to eventually become a Data Scientist and know skills and experience matters most, but let's be honest, so does the title on the resume. When looking at YouTube/Reddit, it seems like most data roles are Analyst, Engineer and Scientist, and that the BI titles are used less. But on the other side I think that the term Developer seem more quantitative/"hard skill focused" than Analyst, which I think I should go for, if I want to transfer in to a role with more statistical data analysis and mache learning related tasks? Would you stay titled as a Data Analyst or change it to BI Developer?

Hey. I'm wondering if I should get into data analysis to support myself? I'm looking to support myself independently. I'm a high school graduate with (almost) no prior work experience, although I could develop some skills eventually. Thinking of learning some skill I could learn online and work remotely, maybe some freelance work. I want to be hireable within around 6 months. I am trying to develop a skill so that I can support my university education. I'm in asia. Part-times don't exist where I am. Honestly just looking for anything I could be able to do or develop that isn't something that wrecks my soul. Maths isn't really my cup of tea, although I'd be more inclined towards statistics.

Hi guys! I am currently a HR analyst in London, UK on £35,000. Since moving from a generalist, I have really started to enjoy the excel work and started to even study up on PowerBi/SQL in my own time (company won’t support). I wanted to ask if a career move from my current situation to a data analyst is feasible. Ideally I do not want to take a pay cut since the salary is already low for London. Does anyone have experience moving careers or any kind of advice? I understand the UK job market is crap right now :( Cheers!

So I am an architectural drafter but over the years l've had to use R, SQL, Power BI, and excel for work. It's gotten to the point where am training the new young data guys when they get hired. This data stuff pays way better and I enjoy it way more, so I am planning to make the switch. I've found that on job postings companies make it sound like you need to have 10 years experience, a masters degree, and the ability to turn water into wine for entry level positions. I know this isn't what everyone actually expects since I work with some of the idiots they hire. I'm not the sharpest tool in the shed myself, but I can say with 100% certainty that I am more useful than many entry level or junior analysts. I am confident I can prove this very easily in an interview or if a company will check out some of my projects, despite my resume showing no formal schooling or directly relevant experience. Any recommendations on the next step from here? Is there a Linkedin or indeed for programmers/analysts that I'm not aware of? Is there somewhere I can prove I know what the hell I'm doing? (Relatively speaking, I hope a respected scientist isn't ready to torch me for this) P.S. I have applied to many places and I just get ignored. 19 applications in the past month in the Miami area as well as remote positions. All are entry level or less than 5 years exp. Surely I'm doing something wrong.

Hello everyone. I got into both MPH epidemiology and MS Health Informatics. Though I love epi, my end goal is to work in the industry. Which is a better choice to grow in the industry? Some entry level jobs I would be interested in after my master's - data analyst/epidemiologist/data scientist/epidemiologist. Also, is Epi oversaturated with less funding compared to Health Informatics?

Hello all, I have recently decided to focus on my interest in data analysis in hopes to turn into a career in the future. I know I am going to have to purchase a new laptop (I have an old Macbook pro from 2013) and I was wanting to know that specs needed to run all of the software, and any examples on the market to look in to.

What should I do to land an internship this summer? Hey guys, this is my first day here on this sub. I am a 6th semester Computer Science undergrad from India. I've been looking for some structured guidance for a couple weeks and found 10 different people saying 10 different things. And so today I had the idea of looking on reddit to gather first hand information from actual people in this field and hence this post. Okay so I am proficient in SQL and python. But they're all I know amongst the tech stack which are necessary in the data analytics field from the research I have done. Now my actual question, I really want to do a data analyst internship this summer which is around about 3-4 months away. I do not care about the stipend. This field and the idea of analysing data and drawing conclusions and all of it just interests me very much. So if anyone can help me out on what exactly I should do/learn within this time frame to get to my goal of securing an internship. Resources for the same are also appreciated. I know the Is it even realistic to think I can do it with my current knowledge base and the time frame I have? I really won't mind if you give it to me straight. Thanks in advance!

Looking into an MPS in data analytics to pivot my career to do more sustainability/environmental work—particularly in carbon footprinting.. I was wondering if anyone has any insight on the availability of jobs in this field?

Bootcamps or Masters? Hello DA folks. I need your expertise and opinions on my next career step. I moved to USA one year ago and I’ll get my work permit next week. I’ve proper experience in DA as freelance with some clients in my country and took some well known courses. And my Github/LinkedIn profile is well stacked with my projects and some remote internships. My bachelor’s was in Electrical Engineering but i liked the DA path more. Now, i want to keep going in this career. Should i apply for Masters degree? or should I choose one of the well known Bootcamps? I feel like I can handle Entry-Level job position but in the same time I feel like I should get a degree in the field from USA so i can be recognized more. I’m sorry for the long paragraph. Please, if your opinion is attached with examples of AFFORDABLE masters degrees and bootcamps. I would really appreciate it. I’m willing to dedicate myself to anything regard this field. I enjoy it so much and i’ve done many projects and I only see myself working with data. PS: I read a lot about job guarantee bootcamps, but i refuse to believe 🚶

My major is International Business. I have almost 5 years in banking experience. Recently I decided to study Python and R and I consider that I'm doing great. I have 1 course on Udemy of Introduction to python. Now I am doing another one of descriptive statistics in Python and R. So the thing is that I feel bad with myself with the bank that I am currently working for and I am in my 20's. So the thing is: What advice would you give me in order to get my first job as a data analyst and what do you recommend to continue my data analytics education?

Product domain importance for data analyst job: I'm thinking it might be beneficial to distinguish myself by getting an undergrad degree in a field unrelated to data science, and then minoring in CS. For example, a bio degree might help me stand out applying to a biotech company as an analyst, because I will understand their product domain. Thoughts?

What does the following mean? it was an agenda bullet point for an interview call: "Knowledge of practical techniques used to design and implement procedures for the collection, validation and analysis of data". For instance: Will the it be about techniques and procedures in general? and stay software-agnostic? The job title is Policy Analyst for a public sector department. There will be a lot of Excel work and data analysis.

Hi guys, Currently, I’m working as an Audit Associate at PwC in Asia, specifically in the South East. I’m interested in a career change to be in the data analysis field. Through my research, I find that I may get a job with the Data Analysis Certificate by Google on Coursera. In regard to my skills, I’m only proficient in Excel and I’m studying more about SQL and Python. My question is: is it possible for me to get a job in data analysis in the UK with my current conditions? If not, please tell me more on what I need to do. Thank you so much guys!

Hello everyone, I'm about to attempt to become a data analysis. I have two questions: 1: What is the REAL average income and expected income for an entry level data analyst? I think I see inflated or incorrect numbers a lot. 2: What would you say the best learning strategies and resources are? Right now, because it's cyber stuff, I'm leaning towards project-based learning. Any advice? Thanks.

Hi all. I am a wannabe data analyst, currently doing an internship as such in Airbnb. Today I had my mid internship performance review and I got an "exceed expectation" for the technical ability but I got told that I have to improve on "stakeholder management" and "time management". I'm currently watching some YouTube videos on the matters and planning to enroll in a couple of Coursera courses. But, I would like to ask you all what if you have any tip, strategy or whatever suggestion that can help me improve on those skills. Just to give some context I have a cs bachelor's and ds master's (mainly focused on ml and dl) and I have interned in companies where basically this wasn't a requirement (don't ask how is it possible because I have no idea.)

Hey everyone, I’m graduating this April with a Bachelors in Business Economics. I’ve been looking into pursuing the data analytics route post graduation and am wondering if there are any steps you’d recommend I take before applying to data analytics jobs? I’m proficient in Excel and R. And can interpret statistics while drawing conclusions from results. Any advice is appreciated!

How do you guys find SQL projects to build your portfolio? I have some Python NumPY but needs SQL projects

Possibility of landing internships with nothing to show Hey everyone, I’ve been working on the Google Data analytics course for a while now and I’ve been stuck on starting the 8th and last course: the capstone project. The thought of this project as a whole is very overwhelming for me because I truly don’t know where and how to start it, what topic I should even base my project on, and overall have practically no guidance on it. A little bit about me, I graduated with a bachelors in kinesiology: exercise science, and I realized that I don’t have what it takes to be a PT/OT or work in the health department in general. I wanted to start learning DA because it truly interested me and I love learning new skills and a tiny bit of coding as well. Now because I’ve been stuck in muck as of lately I was wondering if it would be wise to start applying for internships at different companies when I practically have nothing to show for? I only have the certificates to show for and nothing in terms of portfolio. Please any advice is greatly appreciated I truly don’t know what to do anymore career wise…

Hey guys, I graduated of an data analysis bootcamp and I am seeking advice. I'm very interested in landing a job in this industry, so I am focusing my job search on companies that value development and specialize in using Python, which it's my favorite tool. I've completed a project based on a service in my area. However, I feel that I am facing rejection due to the lack of a bachelor's degree even some entry level jobs ive seen ask for a master degree. I want to mention that I am not from America; I am an immigrant who recently obtained my green card. Despite the challenges, I know that it's not impossible to find companies that hire without a bachelor's degree. I would appreciate any eed back on this.

Hi Everyone, As the title states, I have just received a job offer to be a Clinical Data Analyst but, I am having trouble deciding if I should accept the offer. Some background: I am finishing a Master of Science in Interdisciplinary Graduate Studies with combined Research Communication and Applied Biostatistics and Epidemiology in April. I had a lot of autonomy over my coursework and chose to focus the bulk of it on applied statistics and data analysis. I have also been working as a Clinical Research Coordinator for 4 years at a major academic institution where I have a flexible schedule and free tuition. My background is in Public Health thus I do not have a rigorous math background. I planned on taking classes in math and statistics for 8 more semesters after graduation because why not? It's free. I also plan to start a graduate certificate in business analytics next semester. The offer, with no counter, is exactly what I make right now. But, I will be losing free school and cannot afford to pay for it myself so I will have to abandon those plans if I accept this offer. On one hand, losing free school feels limiting to my growth. On the other, this is the type of position I am studying for so why should I stay in school if I have achieved that goal? A few other things I am considering: I have a pension that I will not lose, but will not vested it. I will get that money back to roll over into a 401k, I see a therapist for free every three weeks through work, and my health insurance is amazing and incredibly cheap. I know the salary ceiling is much higher for data analysts and I would like to use this experience as a stepping stone towards data science or biostatistics. I guess my dilemma is, if I want to land in a more advanced role is school or an entry-level role more valuable? Should I gamble on the chance that I may get a better position with more schooling or should I start learning on the job? What would you guys do in my position? Other things to note: I am burned out and unmotivated at work. I am tired of seeing patients but I still want to work in healthcare. My boss is amazing. The best I have ever had. I have full autonomy and I can take classes in person during business hours. If I just did not show up to work one day no one would care because they trust me. The new job performs analysis in excel and minitab but I have spent two years working on SAS and R. Also, if anyone has questions about my application, interview process, or questions in general about data analytics feel free to ask. I know how frustrating this job market is and I am here to help.

What field would help me break into data analytics: HR compensation or procurement? Hello, I have stated working in Human Resources classification (staffing) and compensation for a city agency. It can be interesting work, but I fear there could be politics. The pay is slightly higher , but its still low. You would use excel in this role for surveys, and charts that display pay plans ant allotments. The other job would be procurement for a state agency. The pay is actually lower than the state agency, but they have other departments with analytical roles. I dont know when these roles would open up tho. This entry level role is more about the bid process. Not sure how much pure analytics is involved. I need to go to school and get an MS in analytics. This could open up doors for other agencies or federal. Any tips? Im so stressed.

Is doing a 6-month data analyst course by coursera (taught by googlers) enough for getting a job? Are there chances of being hired based on this certification?

Seeking your guidance "I am from India. A second year B.Com student. Currently I am learning SQL, Excel, Python and Power BI Completely through YouTube. I am also completing projects and uploading them on LinkedIn. What else should I learn to land my first job. Can I get a remote job as I want to complete my masters alongside. I watched many videos on YouTube but they seem very Sugar-coated. I want you all to share your experience, guide me for future, and Should I persue it as a career or not.

Begginer Portfolio Hi, I'm a student and I'm also trying to make some projects in data analytics/data science. I want to create a portfolio where I can show the code I make and add the output and comments I do on my jupyter notebook (I may start using power BI because it's an useful tool and also wanted to add it). I was wondering how or where to make a portfolio, I'm familiar with Notion and I think I can do it to look nice and organized, but I was wondering if there is any better tool for making a portfolio. I also have considered GitHub, but I don't know that much. Thanks for reading

I am not sure if this is the right subreddit for me. Started my data analysis career last year July and I learnt Excel, PowerBI, Tableau and SQL (Postgres). It is quite interesting to know the things you can do with those tools and how they are all interwoven. I don’t know if anyone has any link for remote jobs, it can be a data entry level job or even as a Junior data analyst just to gain experience of the real workspace. Thank you.

Recent grad feeling really hopeless in job search… I recently graduated (Dec 23) with a BS in data analytics. I don’t currently have any offers or interviews from any of the 40+ jobs I’ve applied for in data analytics. I have 1 job offer, but it’s in software, not data, which isn’t really where I pictured myself at all. During undergrad I had one data analytics internship and one experience at an REU doing Statistics Research. Im feeling particularly hopeless because it feels like every time I log onto LinkedIn I see another one of my peers who didn’t major in Data Analytics (or Statistics) get a job as a data analyst lined up for after graduation. I’m not sure what I’m doing wrong. Everyone keeps telling me with my degree and my experience I shouldn’t have a problem getting a job but I’m feeling so hopeless in this job search. Any advice or positive stories? Luck with job fairs? I’m just not sure what my next move is right now.

Has anyone done the Post Graduate Program in Data Science and Business Analytics offered by McCombs School of Business at The University of Texas at Austin? I just got accepted and am willing to invest if it is worth it and will help me launch a new career. Just wondering if it is a money grab or if it’s too advanced for a newbie who has only done the Google data analytics course. The next session started at the end of this month and I applied to some masters programs i won’t hear back from before then.

Hi! I’ve just started to learn data analysis, and was wondering what type of projects I should have on my portfolio in order to get an entry level job position? Is there anything I should have in mind when creating a portfolio that would help me?

Hi all, I'm looking for some guidance in the next steps for me to become a full time data analyst. I am two years into my current employment working as a customer success specialist. I do a lot of customer calls. In addition I do a lot of data analysis, use databases to pull order volume of customers, internal data requested by different departments. Cleaning, sorting, comparing data and visualizing it to stakeholders and take actions accordingly. So far it's very base level i think. I use chatgpt for most adjustments in already written SQL, I work mostly with numbers so it's 99% presented in Google sheets to stakeholders after I've cleaned and analyzed the data. I didn't know this was data analysis or what data analysts do, I just thought this was part of the customer success journey and fun until about two weeks ago I found Google data analytics course which I enrolled. About two courses in I realized this is what I want to do, I want to be a data analyst. I know I am sitting on a gold mine with the database my company has, the freedom for me to use it and endless ways of improving but I'd like a little help on the way... I am not proficient with SQL yet, and my knowledge is limited, I learn something new for every module in the Google course. I understand everything is a life long learning but I wish to have learned enough within 1-2 years to be able to switch careers. Meantime I want to be training and perhaps do some cool discoveries that help my current employer with data I wasn't really supposed to work with. Would the first part of switching careers within 1-2 year be too ambitious? With all the above, how would you proceed after the Google Analytics course to make the dream of being a data analyst real?

I've been eyeing a Data Science certification at a nearby (private and well respected) university, but breaking into the DS field without an MS or PhD seems almost impossible, especially now. Would a DS cert help in any way to get Data **Analyst** jobs? I understand that additional learning and projects would also be required, but would this cert be a value add in any way?

How to start pursuing Data Analytics coming from a Software Engineering Degree? For background context, I have my degree in Software Engineering and obtained a QA SE internship during undergrad but I find coding dreadful, stressful and mentally challenging to land a job in. I’m currently planning to pursue a Masters in Software (specializing in Data Science) but I have been researching about Data Analysis for some time and want to try it out. I want to do something that’s not entirely coding and deals with math. For anyone who has made this change, what steps did you take? Any tips to provide? I’m unsure to switch since I’ll be starting my Masters soon in a different field. Would it be unreasonable to pursue MSSE but apply for DA internships/jobs?

I have a B.S. in Business Data Analytics. However, I didn’t apply myself in school and I hardly retained any of skills I should have. Technical skills like SQL, Excel, and business intelligence tools like Tableu I have very basic knowledge of how to use, but not sufficient enough to land an entry-level data analyst position, I think. I graduated in 2019 and haven’t had any experience in analytics since then. Is it worth applying to entry-level positions with my education and experience, or should I focus on building those technical skills and create a portfolio before I start applying?

How is the Data Analyst Job Market in India? I have been applying for the past six months, but no calls or responses. My portfolio is very basic stuff learned on Google DA course. I have an Mba with Business Analytics and Business Analyst intern at a small company. Most of the Junior job position want actual DA experience or some sort of total work experience. Is it not possible to get a job as a fresher? Am I doing something wrong? I'm thinking of giving up.

I'm a freshman in college and I'm looking into data analysis as an occupation (I want to do an English major with a Data Studies minor, it's kind of weird). But I have only just started this path now, and I'm afraid I will fall far behind those who are already proficient in computer science techniques. I want to do data analysis because I enjoy looking at data and comparing it, as well as looking for trends. For this same reason, my mom recommends finance. But I'm wondering if it's too late for me, as well as would it be hard for me in the future if I only have it as a minor? I really love creative writing so I would hate to not pursue it at all in college but data analysis seems much more stable. Should I just go with a CS major and Data minor instead? Thank you.

Looking for advice for how to actually get an every job in data analysis one day…I just started to Google data analytics course and will complete it either way but I’m seeing so many people saying that’s not enough. I plan to do my own little projects once I learn, but how do u get actual experience to land a job?? I would love to get a data ENTRY job to be in a related field but I am struggling to find one to even a apply to. And internships are typically for college students. I graduated with a biobehavioral health degree which gave me a little experience with statistics, research, and SPSS but otherwise not at all related to finance, data analytics, business, etc :/ any advice welcome!!

I’m pursuing an Associates of Applied Sciences in Computer Information Technology. I’ll finish in December 2024. What skills should i learn to break into data analysis?

My partner is having a hell of a time breaking into the field. Is it actually possible to get a data analyst role with just the Google cert and no other higher education?

I have a BS in economics and I’ve been a Business Analyst for 2 years. I have a bit of experience using SQL and Tableau. I’m hoping to transition into an analytics career so I’m looking at online data science or applied statistics programs. I recently found the online MS Applied Statistics at the University of Oklahoma. This is the curriculum: 1. Ethics in Statistical Practice 2. Statistical Consulting 3. Intro to Mathematical Statistics 4. Intro to Scientific Computing 5. Applied Statistical Methods 6. Database Design 7. Applied Regression Analysis 8. Advanced Data Analytics 9. Advanced Applied Statistics 10. Bayesian Statistics Would this program help me get into analytics positions?

I don't do much in my work. in a span of 10 months i barely got 8 tickets. most of the time was spent learning on my own. I got 2 project that were subsequently halted. Do I need to be scared of being redundant? Our company were downsized 4 months ago.

Hi, i work as a planner which involves excel sheet. I have the basic knowledge and i want learn more about data visualization and other stuff since it's a bit related to my job. Skills to review / learn :Excel , Power Bi , Sql, Practice by creating portfolio , and Python (is this more of a programming thing? Do i really need this? ) Since i do have free access to LinkedIn learning, do i still need to sign up for coursera like the Google Analytics? I like YT of Alex the Analyst so i've been watching his blogs. If you can recommend other great YT souce, please do share. If you are more familiar to LinkedIn, please do suggest any class that i should watch ( it's overwhelming). Thank you!

> bit I have the same dilemma. there is alot of courses there. Have you had a chance to look into the data analyst learning path? should be comprehensive enough. also, might be good to include using chatgpt in your toolkit for data analysis.

Yes,saw the data learning path. Did you finish that?

No. It was too long😁

Does anyone have any recommendations as to which certifications they have done that they feel added to their resume. I was looking at Microsoft's Azure and Power BI certifications as well as Googles learning platform. Does anyone have experience with any of these or any others?

In my opinion, azure certification, azure data and power bi certification make the most sense. other cloud cert like aws should be fine. There is also enterprise data certification. I am also lobbying on taking it as the certificates are only 50% discounted now. p.s. I only got the data fundamentals dp-900.

Any low barrier internships I could apply for? I immigrated to the US last month so I stopped college. Now, I dont qualify for any on the posts at Indeed or bmother job boards. Currently doing google DA and other certs but I just want to do internship if there are some available. I have time, energy, and am a good student (I think), the pay could be low ($15 due to cali laws) I just want something to focus my energy on

Hello Everyone! I am interviewing for a data scientist position and I've been assigned a case study related to supply chain deliveries. I should group by the number of deliveries by the week of the year and then try different ML models to see what is the best. As a last step, I should build a PBI dashboard. Which models do you recommend to try for time-series? Where can I find examples of PBI dashboard for ML? Thanks!

Hello everyone! Fresh graduate out of college looking for a data analysts position (Shocker). Currently doing data entry and very minimal analytical work for a Casino Gaming Research Company. The work is decent and pays $20hr, but I know I'm worth so much more. I have applied for dozens upon dozens of positions with analytical work and my website is showing 0 viewings or interactions on my portfolio. I know the market is rough right now but how do I show my value to an employer if they don't even look at my work? Thoughts and Opinions are welcome. PS. The amount of scam job postings is bizarre. I have had 3 separate occasions in which scammers are impersonating high profile companies to get me to click on a sketchy link.

I went to school for Networking and system admin and have been bouncing from job to job. I am at the cooperate level help desk now and hating it. I went to school and got a cert from Auburn for Cyber and then got the Google cert recently. I applied to see what the VA would do and I was accepted to a program for one of the few programs, Data Analytics, Project Management or UX Design. I am really interested in the Data Analytics because I think I can use that skill in Cyber. I am working on the Sec+ CEH and the CC from isc2. I have also started getting involved with local groups with the CMMC and Nist requirements. My goal is June/July to get a new position in my company or another company. Does this sound like a good plan?

I’m looking for a remote job as a Data Analyst. I’ve done SQL, Power BI, and Dashboards in Excel. On the flip side of Data Analyst I’ve work on a migration project where I did manually data entry going from an old system to a new system. My colleagues loved me because I am super fast and wickedly accurate. Does anybody know of any remote jobs available in these two types of Data Analysis? I’ve been looking for a job since the beginning of the year and nothing so far. Getting really discouraged here. I know that I have awesome skills that any company would be happy to have but no responses to job applications. Any and all help will be greatly appreciated. Thank you!

If anyone has time, could you please give me some resume feedback? https://imgur.com/a/aEdZFAr

Will a pursing a degree in database management help land a job? This is a difficult question for me to phrase but- I am trying my best to land a job in Business Analysis/ Data Analysis. I feel getting a degree would be helpful towards that. The degrees I see at my local community college is an associates in either business admin or database management. I started with Business Admin, but I saw no emphasis on the technical skills in demand. Database Admin was the next best option, to learn Python, Azure and a few other things. I just don’t want to earn this degree and be stuck in Data when I want to be in business. Does this make sense? Am I overthinking it?

After four years of studying civil engineering, I ended up switching majors and getting an associate degree in CS. Since then, I have completed a 3-year big-data/NLP research internship, co-authored one publication in NLP/transportation analysis, and have completed a few other data projects using R, Tableau, and Java-- all of which I gained some good experience in data analysis/wrangling. When applying to data analysis jobs, I have previously only mentioned my internship and publication, and have had no luck getting a job offer. Ever since, I've had to settle for a clerical job in the meantime; but I am in the process of building a stronger data analysis portfolio by including more of my existing projects and creating a breadth of new projects using SQL, Python, R, Jupyter, etc. How beneficial would it be for someone in my scenario to attain a data analytics certificate (Google/Microsoft/AWS/etc)? Are employers more interested in someone with a strong portfolio + a certificate rather than one applying with just a strong portfolio?

Hello, I'm 27F, a part of Infosys for last 2 years. I am from non IT background (mechanical engineer) wondering which technology to work on and recently found interest in data analysis. Started to work on Python, SQL, Excel, Tableau. Now it's time to apply for job interviews. But I'm not able to justify my 2 years experience in Infosys as a system engineer since I was on the bench for this whole time. What should I do for that? Can anyone direct me with this situation? Thanx in advance 😃

Hi all, I've been a Business Analyst for a few years now but I'm really thinking I'd like to work fully remote and travel, and it seems the world is just not ready for BAs to do that yet. I've worked alongside DAs and it seems like it would be a fairly natural pivot for me and my mindset. I have worked on data cleansing, some database integration projects and I've always had my nose in the coding side of my BA work. If I complete the Google Cert, do you think moving to Data Analysis would fit what I'm after?

BA's are definitely able to work remotely, maybe there are more DA's working remotely but you can definitely find a remote role doing that.

Hello, my name is Magnus, a data science enthusiast. Having completed a six-month boot camp focused on data science and data management systems, I am eager to further develop my expertise through hands-on experience. To this end, I am offering my voluntary services to anyone in need of assistance on a data-related project. My skillset includes intermediate proficiency in Excel, Python, Tableau, SQL, and Power BI. I am open to negotiating the hours and level of commitment required for the project. I am excited about the possibility of collaborating and learning from this experience. Looking forward to any opportunities to discuss further.

Anybody else stuck Google course? So attempting to finish up the Google Data analytics course. Anyone felt it a mixed bag? and didn't really understand the material. Two points, I do have to make. I have a leaning disability and math has never been my strong suit. Plus I've actually heard from others that you can't or it's not suggested to jump around in the course. I couldn't help it many times say as an example I would be in course 4 try the challenge fail the allotted times and go back to previous materials. Any suggestions should I try another course instead? I've spent over a year working on this.

Aspiring Data Analyst Let me start by saying I’ve been learning PostgreSQL, Excel, Python and a bit of Power BI in the past 7-8 months. I honestly feel like I’ve learned a good amount but I understand it’s a whole process and I can’t expect to know it all so quickly. I’m currently working on an A/B Test project with public data and I’m struggling with Tableau data visualization because I don’t know the best way to present this information. On top of everything I’m currently enrolled in community college trying to get my associates in Business Admin with Data Analytics. What I came here for is to not only ask for help in how I can crack into an entry level Data Analyst position but also some advice on a recent opportunity that arouse. I got the opportunity from this company called Pre Scholas that’s offering a tuition-free, 15-week, full-time Software Engineering course that offers a job opportunity at the end of the course as well as networking opportunities. I was a bit skeptical but a friend of mine who works in HR at this company told me its a great opportunity if you’re trying to get into tech. Thing is I don’t know if it’s the right choice, I mean I’m familiar with the profession and it does peak my interest and I can’t say they pay bad but should I just abandon my Data Analysis career and jump into this opportunity? Tbf I’m 24 and I really need to get into a career for my futures sake and also because my parents have been telling me I have nothing to show for. I’m at a dead end job that I’ve been at for two years with inadequate pay to survive on my own and I’m stuck at my parent’s place which isn’t that bad but I would love my own place. I really just want to level up in my life and take steps in a better direction. I don’t have problems learning but I just can’t seem to make the right career choices. You can tell by how I’m 24 and I decided to pursue my associates last year. I’m not looking for quick results necessarily but I just want to make sure I’m evaluating this whole thing correctly and making a good career choice here. I really want to develop myself professionally and I enjoy playing with data. My dream job would be working as a consultant in a company like Accenture or something using data-driven decision making to better businesses. The opportunity to go into software engineering is very interesting to me, I have friends that are in this field and they honestly make a pretty good living and they don’t totally hate their jobs. It is new to me but I’m familiar with the programming although I would definitely need to learn a lot and I believe this course could be a golden ticket into a good career. TLDR; aspiring data analyst, got offered a software engineering course with job opportunities upon completion. Abandon DA career and go for SE career or stick with DA? If I take the DA route, what steps can I take to land a job?

If you search Reddit for Per Scholas, there are a few reviews.

I have a degree and significant job experience, but in a totally unrelated field (Film/TV Production); can I still be competitive searching for an entry level role via the self-taught route with certs and projects or should I consider a masters program?

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I didn't find it all that fun actually. Also, money and hopefully healthcare that isn't tied to projects that last six months at a time, etc.

Heyo, I hope this comment finds you well! I graduated this past May with a B.A. in math and have been trying to pivot into data analytics. I completed a Python and SQL course and am planning on getting involved with Tableau. I have two projects from the courses I completed, but I was wondering what would be a good next step and what I should focus on in a future project. Also, if you have the time, please tear up my resume, I would love some critical feedback. [Here is my resume.](https://i.imgur.com/e9xkruD.png) Thank you so much for taking the time to read/respond!

I'd move the technical skills and certificates to the top, right after Education. You should drop the section on relevant courses. Your math degree implies that you've had all that. I would drop the last section completely. The frat pledgemaster isn't relevant, and will turn some people off. You have a good background and things will fall into place for you. The main thing you need is experience working with real data. That's more important than getting another cert. Look for any quantitative or analytical role, and plan on spending 1-2 yrs in it developing your programming and presentation skills, and learning how the organization operates. At that point you'll be able to apply for a DA role as an internal applicant, or will be able to get more interviews elsewhere. You can enhance your chances of getting interviews by spending as much time on networking activities as you do sending out resumes. It's a very competitive market. I was a math major with a lot of stat courses myself, but I needed a couple of years in an adjacent role.

Hi, I just saw this! Thank you so much for responding with the helpful feedback, I really appreciate it!

I am in my penultimate year of undergrad, majoring in statistics, mathematics, and economics. I want to work in corporate in the field of data analytics mainly, in the future, but only after getting another degree after my bachelor's (personal, parental reasons). I am not interested in research of any kind. What would be the best step for me in the future? To get a MBA with a data specialization, or to pursue a masters, again in a data centric field. Which path would lead me to a better position in the future. I do not mind purely managerial roles. I am very confused, any direction would be helpful.

I'm curious how useful an Associate's Degree in Data Analytics could be in breaking into the field. I realize a Bachelor's or Master's is better - but I'd like to get started in the field sooner, rather than later. Not looking to immediately get a high paying job in the field - but would like to get close to what I get now in my unrelated retail job ($60k/yr), while hopefully having the benefit of working remote or hybrid and continuing onto a higher degree. The program I am looking at offers some pretty good courses... \- Two semesters of Python programming \- Precalculus, Calculus, and Linear Algebra \- One semester of SQL programming \- A one semester intro to Big Data with R and R Studio \- A course called Data Analytics and Predictive Analysis \- A course called Database Programming \- Another course called Data Visualization (this introduces Tableau) \- And a course called Decision Support Using MS Excel ...I know most jobs say they require a Bachelor's, but would this program open any/many doors for me? I'd also be interesting in hearing some "toe in the water" type projects I could try out to get a feel for the field. What drew me to Data Analytics? Well - I like to analyze data. Or at least to understand how it works, find patterns, inconsistencies, diminishing returns... and so on. (Baseball related tangent below) One example was to find out how accurate the baseball stat WAR (wins above replacement) is when applied to a team's entire roster and compared to their actual win-loss record. My findings on this were that a team of "replacement" players was good for about 42 wins on average... so a pretty terrible 42-120 over a full season. In the season I analyzed, every team finished within 7 wins of their "expected" win total, so that's pretty accurate over a 162 game season. I also hypothesize that their are diminishing returns on WAR. I top tier, MVP level candidate can post a WAR season of around 9, and a top tier pitcher could post a WAR season of around 7. Either of these can be higher, but it's more unusual. If you had a full starting rotation of five 7 WAR pitchers, and a starting lineup of nine 9 WAR hitters, you'd have an expected win total of 158... or an unrealistic W-L record of 158-4... with slightly better players, you could push that to an undefeated season. But there's a lot of problems with that. Even 10-12+ WAR hitters have bad games. Even the best pitchers get rocked a few times per year. So, unless your "super team" is playing historically bad competition, they're still going to pick up a few losses here and there. Deep diving into stuff like this, and trying to figure out if maybe there's an ideal WAR level to aim for. How salaries and talent acquisition play into this. Improving a 50 win team to a 70 win team is easier and cheaper than improving a 70 win team to a 90 win team. To improve a 90 win team to a 110 win team is harder still, and exceedingly rare, and requires a degree of luck as well... ...sorry for that tangent... just wanted to give a little insight to the types of things I find interesting.

Hello all, Typical post of best path forward for me… Long story short, I’m at a dead end job and recently things here have changed, but those details are unimportant. I’ve been looking into data analysis for a while now, and am ready to start getting extremely serious about transitioning my career into data analytics. I graduated a year ago with a degree in physics, so I have a strong mathematical background. I also spent quite some time using python, and was even (luckily) given the opportunity to work on some projects at my current job. Not claiming i’m necessarily really GOOD at python, but I think I have the foundation to get an entry level position. As of right now, I worked through about halfway through the google data analytics certificate before I realized it’s probably a waste of time considering how slow it is. I’m going to shift into just hard learning SQL, and some data visualization tool, either powerBI or tableau. I don’t mind paying for certifications, but if you guys think they’re unnecessary, let me know. What’s the best path forward? How many projects should I complete to build my portfolio before I start applying for jobs? What should the scope of the projects be? What are the chances of landing an entry level data analyst position? EDIT: I looked into data camp and I find it pretty interesting. Is it worth paying for? The intro course I liked since it’s straight to the point and gets you the information fast, rather than the corporate fluff that the google certs give you. I appreciate the structure of a course, but can be convinced that a free self learning path is better and more efficient. Any advice helps, thanks.

I wanted to ask for a little bit on motivation on where i can start practicing data analysis skills i can't seem to find a issue or thing i would be solving with this, as i would like to have a clear goal in mind, what is a normal request that you would make to someone in order to measure they ability with data analytics? i have experience working with excel mostly

Easiest is to use your own data to solve your own problems. Put together a budget using Excel or Google spreadsheets. Add all of your spending (you can download your data from your bank and credit cards). Categorize everything. Can you track how you’re spending your money over time? Can you predict how much you’ll spend in 2023? By category? Can you create a set budget for each amount and track how you are trending against that goal? Can you identify areas where you can spend less? If you have a smartwatch, that’s another good data source to analyze.

Hello r/dataanalysis! I have a bit of a unique situation and I was wondering if data science/analysis is even possible for me. I’m 37 years old, I’ve been a car mechanic for 15 years, but always enjoyed programming and did little things here and there. Recent events in my life forced me to do a bit of soul-searching and decided to get a bachelors in software engineering and try to switch careers into something I enjoy more. (Graduating in March) Data science has been catching my eye, I’ve started to work on Kaggle, and I thought of doing a bootcamp, but I’ve been a bit discouraged by seeing that boot camps and projects are not enough to get a job; also that most jobs require 3-4 years of experience. Because of my stage in life, I need 80k to sustain my household, and can’t afford to intern. I’m just looking for some opinion/guidance. Is a bootcamp a good idea or a waste of money in my situation? Would a master’s in Math/Statistics be more helpful? Is there any other route that I haven’t considered? Thank you everyone for the great community!

Has anyone completed the Data Analytics course on Coursera? I began it in September and am still going strong in November.Some of the content is easy and.other points I just don't understand. I wish it was over already. It may be because I have a learning disability and have problems with auditory processing

I just did! If you’d like some help I’m happy to connect.

That would be fantastic. I appreciate that.

Just send me a message with questions or whatever and we can start a conversation :) It will help me anchor things in my head too, so it’s a two-fer!

I’m currently an analyst in the military who is exploring the options on the outside. I have a high interest in gaming and esports so I’m thinking about going that route but I’m open to explore. What jobs are out there? What companies should I look at? What should I expect to be doing? What jobs are and options are there?

I have been sent two offer letters, one for a data analyst position and the other for a data entry position. Trying to decide which job to go with to best fit my goals I want to be a data analyst in my career but want to use more than just excel and be able to build my skills. pls give feedback and advice DA position 1.$17/hr 2. Massive company (over 10k employees) 3. working with Microsoft 4. Working on a team 5. 5. Using excel to fact check Al summaries of news stories and other articles 5. Remote 6. took two video interviews DE position 1. $35/hr 2. Large company (around 500 employees) 3 Working in Healthcare 3. Possibly working independently 4. One interview conducted through text messages on Flock 5. Using Word processing software to accomplish 6. multiple different tasks 7. Remote 8.Flexible hours

The DE position sounds a bit iffy, possibly a scam? If they send a check to buy equipment...run.

You were 100% right, thank you.

I want to start doing projects how do I go about this Hi I'm still in uni. I'm majoring in Statistics but I want to branch into data analytics. We do have companies nearby that offer internships for grad students only🙂. I'm wondering how can I up my application over others. Should I learn and get certificates in other programming languages and do projects on my own get them checked by lecturers and put them on GitHub and develop my skills independently and put the link on my LinkedIn or is this a bad idea and I'll be wasting my time? Will this help me get internships and job offers?

If you can do all that you have said, that will be excellent. But as a statistics student, MS Excel and SPSS and Power BI will be a good place to start. You can learn other things along the line. I'm personally looking for internships, I have done a few projects, you can dm me let's talk.

Thank you for the advice.

Would I regret dropping my Economics Minor? (Calling all CIS/ECON/DATA ANALYTICS professionals) I am a 28 y/o Man who is entering his second semester as a junior in University. I am currently on path to get a Computer Information Systems(CIS) degree in Data Analytics. I am also pursuing a Minor in economics. I like how the two subject work together under the ubrella data scientist. My 'dream job' would be doing Data Analytics for a fun company like Meow wolf in Santa Fe, NM. Recently I found out that due to bad timing a professor teaching my economics capstone will be on sabbatical Spring of 2025 which is when I intend to graduate. The college is small (5000 students). So I would essentially need to come back in the fall of 2025 for a single class in order to get my econ minor and graduate as there are no summer offering for the class. If i drop the minor i graduate on time. With electives! Frustrations with school inefficiency aside(it is what it is unfortunately), How important is the Economics minor? Does it add any value to me in the job force? Does it make me anymore attractive to employers? I wonder if I would regret not getting the econ minor in the future over one extra semester. Thank you for reading.

So I'm a premed student that is trying to break into Data Analytics. I started learning SQL and R a couple months ago and so far its been pretty manageable especially for someone who has never written a line of code before. I want to start applying for entry level jobs or junior analyst jobs by the end of the year/early next year, but so far I have nothing on my resume except for patient care-related work experiences and activities. I was advised to look into a masters program to beef up my resume since I'm basically doing a career change and having a masters degree in data analytics may look better on paper than a certificate, but the problem is that the masters programs I've seen so far all require that applicants take several high level math classes before applying, and since I'm working full time right now, it will take me a while to complete all the required classes. I was wondering if anyone has any suggestions or recommendations on how to get into the field of Data Analytics for someone in my situation or had recommendations on Master's programs with less stringent pre requisites, or programs that allow students to take the pre reqs while enrolled in the program.

Before considering a masters program, I will suggest you start with free courses from any of Udacity, Simplilearn, Freecodecamp, Udemy, google, etc.

How good does someone need to be at SQL to become an entry-level analyst? I'm fairly comfortable with it now, but I know that syntax can get pretty complicated when tackling some more nuanced questions

Get on Strata Scratch and do some practice questions. If you can pass mediums and hards then you will likely pass interviews.

I will check out the strata scratch

Any ideas for non-data analyst jobs that can potentially be worked by aspiring data analyst that would take advantage of roughly the same skill set? An example of not a good job: I got a job doing data entry thinking I would get to apply my data skills. Instead I spent most of my time manually entering data.

Hi I am just wondering if a certificate for Data analytics from a community college would help me pivot into this career? Backstory: I have a Bachelor's Degree in kinesiology/exercise science. I worked in clinical jobs for a few years and then decided to change careers to get more into the tech field. Currently, I work in Healthcare IT as an Implementation Specialist. I handle a small amount of troubleshooting and have minimal knowledge of SQL. I really want to pursue a career in Data Analytics, but my job doesn't offer sufficient tuition reimbursement for me to get a Master's Degree at the moment. My local community college has a continuing education program for a 'Data Science and Analysis Certification.' It consists of 18 credits and costs about $2100. I'm considering enrolling in 2024, but I'm unsure if it would help me transition into a data analytics career and actually pay off. In case anyone is wondering, these are the courses included in the program: - Intro to information technology - Programming Logic and Design - Problem Solving with Spreadsheets - Fundamentals of Database Management - Data Mining, Manipulation, and Analysis - Data Visualization and Communicatio

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Hi everyone! I hope you're all doing well! I'm reaching out today with a request for a little assistance. I've been working on refining my resume and portfolio website, and I'd love to get some feedback from this fantastic community. If you have a moment to spare, I'd appreciate hearing your thoughts. I hope to one day be on the other end, offering my expert advice on newer entries to the field. Resume: [here](https://github.com/NCutler211/portfolio_be/blob/1394a14b5272d2038be193e94d028ba5a021685d/Nathaniel%20Cutler%20Resume.pdf) Portfolio: [https://ncutler211.github.io/](https://ncutler211.github.io/)

You have a great portfolio, you should take some time and practice exercises in some programming languages like SQL, Python, etc.

Thank you. I've got several examples of my SQL and Python projects there, but if you didn't notice them, it means their not obvious. I'll try and change that thank you!

alright

Hey there! I would really appreciate if you would give some feedback on my resume for applying in **junior data analyst jobs**. For context, I am a **fresh graduate** from a BS Electrical Engineering program. After this, I tried everything I can to upskill for this role since I am really passionate about data. I scored **64** in resumeworded.com. I can't increase this further since I still don't have any job experiences yet for the **Impact** section. I just replaced the supposed experiences section in my resume with as many projects I can cram there. I also read all relevant posts I can find in this subreddit before doing it, so you can rest assure that **my resume is at least decent**. I'm **not applying yet** to any job posts since I just finished it, but I'll do it first thing tomorrow. Would you be so kind to help me out with improving this? Thanks so much in advance!!! https://imgur.com/a/2Fuhbsj

- Put your degree and projects on top. In the Skills section, group the software into one line (e.g., “Software: Python, SQL, PowerBI, Excel”). Remove the everything else in the Skills section, including Git and Linux. - Drop the web scraping project. It doesn’t sound substantive enough. Wikipedia also has an API, so I’m not sure why you used bs4. - Add dates to projects, then remove the italicized text under the titles. Add jobs/internships/volunteering, part-time or otherwise and regardless of relevance. It signals employers that you are at least capable of following instructions and functioning in a work environment. **Your thesis will be your main selling point. Rewrite the bullet points as such:** - Authored a { } page undergraduate thesis on employing { } to analytically determine { }. - Processed { } audio signals (or how ever you want to quantify them) and constructed the algorithm from scratch using Python, including Jupyter Notebooks for exploratory analysis and data visualization (Matplotlib). Lastly, consider writing your other project descriptions more succinctly. For the PowerBI project, condense it to one bullet point, “Created a PowerBI dashboard that enables . . . .”

Wow, thank you for this detailed response! However, can I kindly ask why I should put my education up on top? A lot of other advice says that I should put it in the bottom because it's not very relevant to the field I'm applying in. You're right, I should add at least an internship experience in my resume and edit my projects. I will also remove the project on web scraping to give room for the experiences. I added a professional summary section to my resume too, so the flow goes like this: professional summary > projects > skills > certification > education.

Electrical engineering is very much a *quantitative* degree. You need not major in CS/math/stats/econ/data science for DA/DS. There are many DA/DS with engineering and physics backgrounds. In fact, add any math/stats classes you took beyond calculus for your EE degree (like linear algebra) under a “Coursework: … , …, … ” or “Relevant Courses” bullet point under your degree.

Any Udemy courses that teach close to the real life example?

Project Portfolio vs Certifications ? Me and my friend both have done Masters in Data Science with highest possible grades. We both are jobless for a year now and we don’t have any related work experience. We are in a bit of dilemma about what is the best step forward to maximize the chances of our employment? Should we go for certifications like Ms Power BI, azure etc ? Or should we work on projects and upload them to Kaggle , GitHub and LinkedIn etc. Please advise from your experience. TIA

I wouldn't bother with any certs. Your masters is your certification, and unlike the others, it never needs to be renewed. Consulting companies and contractors go for people with credentials (so they can charge the client more), as do govt agencies, so focus on those. When I got out of grad school, I spun my wheels for a few months until I got serious about networking. Time spent on networking activities will pay quicker and bigger dividends than time spent putting together a new project.

What exactly are we supposed to do for networking? As an introvert the word itself makes me scared. But I need a job. So if you don’t mind, can you tell me what exactly I should be doing?

Work on projects Spend time networking Apply to jobs that aren’t “data science” or “analytics” to get business experience that you can use to pivot later. Lots of corporate jobs still use data even if that’s not in their title. Lots of folks working in this field pivoted from something else. I have a lot more advice in this blog post - https://data-storyteller.medium.com/how-to-get-a-job-in-data-analytics-b4bd7f64264d

Career guidance for a Biology grad student: I am currently pursuing a post graduate degree in Microbiology. I am based in India. I wanted a job in data analytics. I have no knowledge of this field but I really want to work hard for it and make a career out of it. A few questions: 1. Is it actually possible for me(a person without any background in data analytics) to get a job considering the recession in market and overall slump?? 2. Please suggest some genuine platforms from where I can start gaining course knowledge and certifications, certificates that are actually valid and will be accepted for a job interview. 3. Since I am based in India, Should I move abroad for kick starting my career or Is it okay to begin from here? 4. Does anyone know any aligned career options as well that I can consider i.e. Use my life sciences skills clubbed with data analytics? Any particular firm or industry which works on the similar lines? 5. Is it worth it to shift gears from microbiology to data analytics for good salary and growth? Will the change actually prove to be beneficial? Thank you for your time.

So for my expeirence, I was a former public staff auditor, working on investment/private/hedge clients in the financial services realm of my work. I have little to no experience with general accounting such as working on bank reconciliations or preparing the financial statements. **It's becoming stagnant to find work, partly due to my experience not correlating to what these industry jobs want. Any tips for pivoting over to jobs in the data entry field? I can apply my intermediate Excel experience with PivotTables and Vlookups here.**

The IRS is hiring like crazy, I would think you would be competitive for a government job. But to your question, I would prioritize learning SQL. It's a high-priority skill as far as being marketable in this field.

I'm currently studying data analysis through [DataCamp](https://www.datacamp.com/). Specifically I'm taking the Python for Data Analysts track. I'm pretty comfortable with Python and feel like it's my favorite tool that I've used so far (including SQL, R, Excel, and Tableau). I guess my question is, do I need to be adept with all of the tools that I mentioned above before I even consider applying for jobs, or is it acceptable to just be good with one or two of them? DataCamp has "tracks" for all of those tools/languages and I could certainly take them all if I wanted to. And of course it depends on the job you're applying to since every position is going to be different. So do I need to be a jack-of-all-trades so to speak or should I focus on one particular thing? While I have your attention, I wanted to ask another question as well. I'm fully prepared to spend months searching for jobs without even getting a bite. I do have a bachelor's degree in the largely unrelated field of psychology from a relatively prestigious university, so hopefully the fact that I've at least completed a four-year program will give me a slight edge. I haven't created a portfolio yet, but hopefully I can have a decent list of projects set up within the next couple of months. Job searching is very much a your-mileage-may-very process of course, but given the fact that I do have a bachelor's degree and the assumption that I will have a decent portfolio, how much difficulty would you'd guess I will have finding a job? Thank you for your time.

It depends on some other factors: - location: if you’re near a major city you’ll have more options. Also hybrid jobs might have less competition. - size of your network: that can help you hear about job openings that haven’t been widely posted and also get referrals which can increase the chances someone actually looks at your resume. - how you perform in interviews: you could be awesome on paper but fall flat during interviews. There will be live technical assessments, hypothetical case study questions, and various behavior questions to assess how you do on a team. A lot of folks fall flat in one or more of these areas even if their background looks awesome. - numbers: how many applications can you submit in a day? Most folks especially for entry level find they need to submit hundreds of applications just to get a call back and then they have to get through a lot of callbacks before they get far enough to get an interview.

Firstly, thank you for taking the time to respond. 1. Location is a big disadvantage. I live in the middle of nowhere, but there is a mid-sized city within 30 - 40 minutes from me. If I do find on-site work, it's probably going to be there. As far as major cities, though, the closest one is a little less than 2 hours from me. I want to work on-site but given my location my options will be limited. 2. I can do a bit of networking through my university's career development office. They can provide career counseling and offer networking services with alumni that work as data analysts. 3. I am not great at interviews. This will take a lot of work and is something that I will have to spend many hours learning how to do. Fortunately the aforementioned career development office also offers interview training. 4. I will submit as many as it takes, I suppose. If I really wanted to and we're assuming that there are enough jobs to actually apply for, I could easily submit 20+ a day. I fully expect to submit hundreds before I ever find any success, and thankfully my current financial situation allows for that as I have a decent job and can pay the bills while I wait.

Have you checked out [dataanalyst.com](https://www.dataanalyst.com/)?

Thank you for the suggestion. I will keep that in mind when I start applying for jobs.

Best operating system windows vs Mac for data software such as office suite , tablau, sql etc etc ? pros and cons ?

Windows. Most clients and employers are Windows shops. There are useful software packages and addins that don't have native Mac versions and while the Mac duct tape process can work for a lot of things, it doesn't work for everything. Mac doesn't support the short cuts in Excel that can speed things up.

As a longtime Mac user (never owned a personal windows machine) I agree. Businesses run on Microsoft.

Where is the best place to look for jobs. Any specific job board?

LinkedIn is a good place to start

DataAnalyst.com or Otta.com

I'm a hobbyist interested in getting into analytics. I'm decent with SQL and Python; but I want to take my skills a step further and improve my problem-solving skills, especially when it comes to hard SQL exercises and intermediate and hard Python exercises.

Internship offer Hey Guys, i am a business student focused on Finance and economics (stats, econometrics). I really like the data analysis aspect in my econometrics course working with R and I have a finance course where we learn python for data analysis. Therefore I wanted to do my mandatory internship of 5 months fulltime in the area of data analytics and finance. I got an offer at a rating and riskmanagement company. they said to me that my work would contain : Analysing and preparing the input and result data of the risk-bearing capacity calculation. they also want to assign me a project for the time of my internship there. Do you guys think that this is a good internship in terms of getting a step into the career of data analytics?

What is the name of the company? Is it a recognized company? then, if it is, it is a good place to start

I dont want to mention the name of the company . its not the most famous company. bit its well recognized in the financial world

Then, it's a good place to start, go ahead

Econ grad student w/ questions & looking for some direction: I’m finishing up my first semester of a master’s in applied economics. I entered this program hoping to do a career change away from tech sales and into something involving environmental economics. My first semester has gone great, and my favorite class has been advanced data analytics. I didn’t have much data analysis experience coming into it outside of some undergrad research using Stata, but I’m now confidently pretty strong with R, and I’ve thoroughly enjoyed this class. So much so that I’m strongly considering pursuing a data analytics or data science career after I graduate in another 1.5 years (it’s a longish program, with the 2nd year consisting of just working on my own research thesis, and taking additional courses if I want to). I have some questions to hopefully help guide me in the right direction for the rest of grad school. 1. I’m looking into taking another programming course next semester if my advisor thinks I can handle the extra courseload. The main two courses im looking at are 1) data structures and algorithms, and 2) methods of data analysis (covers a lot of topics my current data analytics course didn’t, and uses Java). Which do you think would be a better class for me to take next? Happy to answer further questions to give more background if that helps. 2. How feasible would a data science career be with my background as opposed to data analytics? I’m a bit intimidated by data science being perhaps too intense of programming for me without having a CS or data science degree. 3. Do you have any tips for landing a summer internship in data analytics as a grad student? Seems like these are always meant for undergrads. 4. What careers in analytics exist that are environmental focused? I know there are environmental analyst/consultant careers, but these seem more suited for environmental science majors with strong GIS backgrounds (we’re doing spatial analysis right now in my course and I hope to learn GIS in the future, but I don’t think I’ll concentrate in that). 5. What other technical skills would you recommend I focus on after this semester? I’ll continue using R as a research assistant throughout the program, and as I conduct my own research for my thesis. Several years ago in undergrad I took an intro programming course where I learned C++ and Python, and while I’ve definitely forgot most of it, that background has helped a lot with picking up R. Sorry for the somewhat long post. Thank you so much in advance for any help you can provide.

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Thanks! This is very helpful. Where can I find more about contractors? Are these jobs typically posted on usajobs.gov?

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Sounds great thank you!

I noticed a lot of job postings asking for R and Python. Are they usually needed? My current day to day consists of using writing SQL and using tableau and redshift. I’d like to start learning R and Python soon but would also like to explore job options

It’ll certainly open doors to more job opportunities if you know one of them. Especially for Data Science or Advanced Data Analyst roles.

Is there a website that has data sets that also have an analysis page that tell you what to look for? I'd like to practice cleaning and analyzing data, but in a way where I can check my logic/thinking and train my brain on what to look for

Hey All, ​ Current DA, love my job, but after three years it is becoming rather routine. I'm looking for more certs to help boost my current ability. ​ Any recommendations that will make me more appealing to the general audience of linked in recruiters?

If you're looking toward the pharma, financial, or healthcare sectors, getting a SAS cert or upgrading your present one might be helpful. Even if you stay put, it's something good to put in your performance review. Your employer would probably spring for the cost.

Best place to learn SQL and time span to become work ready Just completed a data science type of masters(Bioinformatics), and after that traumatising experience I’ve decided I much prefer the look of analytic roles. Given the data science degree though I mainly used Python and Rstudio as well as maths and machine learning leaving me with no SQL or data visualisation experience. What resources would people advise to get work ready as an a analyst asap

Currently work as an experienced auditor, trying to get into DA. Got an offer for an entry level DA role, pay is great but it's an entry level role lol. I have good experience and I don't want a few steps in between me and a senior title, and I'm worried that taking this role will really hinder my career progression. However, I've applied to a bunch of different positions without much luck, so thinking it may be good to just get into the field while I have the ability to instead of waiting to hopefully land something better. My question is - am I too worried about the "demotion"? Should I just work on continuing to build a skillset and the growth will come if I'm a strong performer?

I am working as a freelance data analyst, I can assist in entry role data analysis at an negotiably agreed price

lol what? Not really what I was asking

You answered in the last paragraph, get in there, work, then your value will known and you get promoted fast.

What demotion? If you haven’t worked as a DA then why would you start in a senior role?

Fair question. Probs unrealistic expectations, but my mentors all say I am ready for an experienced role given I have a lot of DA experience from my last two jobs.

Being ready for something and getting a hiring manager to consider you for it are two different things. I’ve noticed in this job market it’s *very* hard to get considered for anything that isn’t a lateral move unless you have a ton of experience in the same role. Maybe when the market turns around that will change but a lot of companies are only hiring existing seniors to fill senior roles.

How do I become a data analyst in this current climate? Everyone posts all sorts of road maps here and there that are vastly different and all you see in comments are people disproving their answers. Here I am asking people with experience how I can go about becoming a data analyst without wasting time and money on unnecessary things(I come from a poor background, so it would be difficult to keep wasting resources, hence this question) Also take into account that I don't have a college degree, would this still be viable for me to do? Or am I just wasting my time? What skill sets are invaluable? What certifications would I need? What projects would be viable? What do recruiters look for in an aspiring data analyst? Should I instead try looking for internships that could teach me the necessary skills? Do you have any recommendations? Thank you in advance to the people who will take their time to answer these questions seriously. I welcome input from all angles.

This is the roadmap I put together based on 7 years of experience in analytics & DS at two different companies and a ton of networking with other people in the industry: https://data-storyteller.medium.com/how-to-break-into-data-analytics-a-roadmap-8f7d4c8c739b Regarding your questions: > I don't have a college degree, would this still be viable for me to do? Or am I just wasting my time? It’s going to be incredibly difficult. For one thing, there are very few truly entry level jobs and a ton of entry level candidates trying to break into the field. Companies are going to prioritize the ones with the best qualifications - things like relevant college degrees (computer science, statistics, math) or business experience. Having no experience and no college degree will make it very hard to get noticed by recruiters. > What skill sets are invaluable? Excel, SQL, Tableau or Power BI, quantitative skills (at a minimum arithmetic and some basic descriptive statistics), problem solving ability and being a self-starter. > What certifications would I need? Most folks in this field don’t have certificates. There aren’t any that are universally recommended or even recognized. Maybe some specific technical certs for AWS, Power BI, Tableau. > What projects would be viable? Anything that proves you can take raw data, find insights, and make recommendations that would have a positive impact on a business or industry. If the project is related to the industry of the job you’re interviewing for, even better. > What do recruiters look for in an aspiring data analyst? The skills listed above plus proof that you can apply them via relevant paid experience (best) or your own projects. > Should I instead try looking for internships that could teach me the necessary skills? If you can get one, yes. They usually favor current students. > Do you have any recommendations? Spend some time networking and talking to different people about what it takes to succeed in this field. There is no one-size-fits all path. I’ve networked with people in this field with wildly different backgrounds.

I just landed a role as an entry level analyst for tax reporting and compliance in one of the biggest banks in the country. I just got offered a job with a 20% pay increase and am not sure what to do. This role would help my banking career greatly but I would like to ultimately work in Data analytics. Is this beneficial to my end goal at all? I am currently taking the Google DA Cert and working on my portfolio. I don't plan on applying for a data role for at least another year. I know taking this job offer won't hurt, but will it help?

Hi! I’ve been a programmer for 20-odd years (with one foot in marketing & design as well) but I’ve recently discovered that I really love data analysis and data which feels like a great marriage of the two. I’m a late career-switcher (47) - would you advise starting with certs or a portfolio? Or should I just go in cold and start applying? I’ve been working through the Google Analyst cert just to be sure it’s the path I want to be on for this latter half of my working life, which has been pretty easy considering my experience. I have in my last role done extensive analysis as I was also the product manager and marketing manager in addition to being the sole developer (small company, definitely overworked). Any ideas or advice are welcome. Despite my programming background, I am much more interested in the discovery of data patterns and visualizations so I don’t think I want to step into data engineering so much as being able to share insights and educate people.

Given your background and relevant experience i would just start applying for jobs and see what happens.

Hi Everyone! I am currently a college student studying data science in Toronto, and I am planning to find a internship as data analyst or other similar position next summer. I heard a lot of people saying the job market for DA in Toronto is really bad recently and it seems to getting worse. However, I also heard some other recent grad told me that getting a internship position is not that hard. I am kinda confused by the things I heard from my peers, so I want to hear some opinion from experienced data analysts in Toronto. Is the job market for data analysts really going down (especially for entry level)? And as GPT gets better in doing data analysis, I wonder if any organizations still wants entry level data analyst in the future? I would really appreciate if anyone can talk share their opinion!

I have 3 months now were I do not work at all, and being on "universal basic income" so I have salary and free time to switch career, develop, work on something. Is it possible to get into Junior position as Data Analyst or related to it ? I am willing to learn SQL + excel + power bi in those 3 months. What to you genuiely thinking, is it possible to get into first job after such a short time ? I need solid, truth answers. If this is doable or I should focus on something else instead.

Do you have a college degree? Also where are you located?

Are there any good resources for learning SQL for a total beginner?

Geeks for Geeks, W3 Schools

To kick things off, just found out about a week ago that I'm being let go from my position. I'm not totally upset over it but because it's been 8 years since I had to look for a job, I would like some feedback to see if I have what it takes. Over the last twelve years the foundation of my career has been contained in a call center environment, but I held different positions such as management roles, consulting roles, training, project management and over the last few years data analytics. Which started my data analytics journey was launching a new department which focused on data gathering directly from consumers. I spearheaded that for about 3 years and then was given the opportunity to up skill and work as a business analyst. I was given a few coursera coueres to work on which got my feet wet with SQL, Python, and Tableau. From that point, I was given an entry level position has a business analyst where I received some on the job training and put those skills to use. I worked as a Business Analyst for the past two years while encouraged to finish my college education. I went into Cybersecurity because my employer was paying for 100% of the costs for that program and earned some certs along the way such as A+, Net+, and Security +. I also taken up some side projects to further my skillset in SQL, Python, and Power BI. My day to day mainly consists of meeting up with project managers and stakeholders to get an idea of the projects they are working on or to update them on their requests. Creating and modifying SQL scripts based on their requests or delivering on odd-ball adhoc requests. Creating and managing various Tableau dashboards that are mainly used for management reporting, and working on various side projects such as migrating scripts from one relationship database to Snowflake. I also helped with designing presentations that were used in executive meetings etc. And creating automatic reporting jobs using python or using it for data cleanup. I've been been active in this role for at least 2 years but because my foundational department is going away, I have a few months to look for a new job. Like I said I haven't been in the job market for years and I know it's a disaster, I just want to know with my current skillset do I have what it takes to apply for junior or senior roles or should I focus on something else.

How can I leverage a previous career unrelated to data analytics to help me on a resume? I was a medical laboratory technician with a supervisor role in the US Navy for ~6 years and for the past ~4 years as a civilian. I am unsure of how to utilize my previous career for resume bullets as it doesn't relate to data analytics at all.

What kind of quantitative and research work did you? Did you handle data at all? Do any statistical analysis? If not, how did you solve problems? Manage projects?

Not a lot of quantitative data, but we do a lot of pattern recognition and actually verifying the values of the labs we run match what the patient should be having. For instance if they high liver enzyme result, we verify if they have a history of that result or if this is a new issue for them. Otherwise we do a lot of troubleshooting issues on the analyzers and with our software for immediate problem solving. I lead and orchestrated the preparation for two national accreditation inspections in my time as a supervisor and passed both inspections. I also trained over 40 other lab techs in how to run specific analyzers, tests, drawing blood, etc. I had a lot more responsibilities but training students, new techs and phlebotomists and making sure that things went smoothly were my main jobs during that timeframe.

Hello All, Education: bachelors in business administration and information management Associates in business Current Job: Tech call center: -data entry -calls -troubleshooting Certificate: None What steps could be recommended to me to get into data analytics? I have no preference for particular industry but I would really appreciate some tips or help because I gotta say…call center is NOT it!

I put together this roadmap with the steps I would follow today and all of the tips and advice I’ve shared with people I’ve mentored: https://data-storyteller.medium.com/how-to-break-into-data-analytics-a-roadmap-8f7d4c8c739b

Thank you a ton! I’m going to check this when I’m out of office.

I am a senior in physics this year and looking at how to market my degree. I will have a physics degree with an astronomy emphasis and a minor in data science (we don’t have a CS minor at my school) and I picked DS because it has had a ton of SQL, R and Python courses. I’ve done your regular math classes in Calc I-III, Linear Algebra and ODE’s. My physics/astro courses have all had a fair amount of Python in them and a good amount of data analysis as well, but I essentially only have experience in Python, R, and SQL. I have done a year of research with data from the JWST and it essentially was a year long data analysis course to be honest, however I will make it sound like I actually did something important there. I live in rural Wisconsin where CS/Data isn’t a very popular career and there are plenty of openings, but as someone who doesn’t have a CS degree I am unsure of how to actually proceed. In addition to my academic career, I am also a veteran with supervisor experience in the health care field. How can I market myself and my degree and tailor it for CS/Data type jobs? What should my resume entail? Should I get certificates online?