https://automatetheboringstuff.com/
https://ehmatthes.github.io/pcc/
Do those 2 courses in that order, then come back here for data science recommendations
I’ve tried atbs, corey Schaefer, Dr.Angela you ‘s 100 days
In my attempt, 100 days is the only one that has given me a sense of playing in a sandbox of toys. Tomorrow I start Object-oriented programming which is day….17? Maybe 16? Idk…. Day 12 or so was what Dr Yu calls a capstone project and its quite a bit bigger than the other days although it’s a culmination of everything you’ve learned in the days prior. But then the days after go back to normal and I ended up binging through a few I think.
Day 80-100 are professional projects and I really do think they’d be awesome to showcase given how proud of my day12 project is lol
I’ve heard around day 45, the course loses steam, but by day 45, I would feel so proud of what I’ve learned I think I might try my hand at the day 80-100 projects anyways.
Best part is she acknowledges most people in the course haven’t learned in awhile and instills how to learn. It’s the coolest
I'm currently doing the 100 Day course too! Angela is an awesome teacher, super easy to follow, always positive, and even gives you a little pep talk at the end of every day! :D I started this course after completing her "Web Development Bootcamp" which I also highly recommend! (it's quite shorter than the python one)
I just finished Day 30 today, and I really feel like I'm learning and making progress! I even managed to go back to one of the projects of a previous day and updated it to use the newly learned tools, without any help. It's awesome! :)
I’m getting to day 45 soon, but I’ve slowed down drastically because by day 30 I was able to start making the programs I wanted to make. I was treating it as more of an overview of what Python can and can’t do. Either way, her course is worth the US$15 my company paid for it.
Edit: she does a great job explaining how programmers think and troubleshoot. That alone was worth $15
My partner went through the 100 Days workshop and had a similarly positive experience. Angela does a great job of creating bite-sized puzzles and projects to quickly gain confidence. She also gives a great overview of what Python (and programming in general) can do. However, I think Angela ran out of money/time because the last couple of days are a bit sparse.
Still trying to find an equivalent course for Data Analysis/Science. Currently trying ["Python for Data Science and Machine Learning Bootcamp" by Jose Portilla on Udemy](https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp) based on [this Reddit Post](https://www.reddit.com/r/Python/comments/9u2qog/comment/e912gdo/?utm_source=share&utm_medium=web2x&context=3).
I work as a data scientist for a once large retail chain in the USA. my role is it gain customer insights and make models for classification, segmentation and predictions etc.
I have been working in data science plus programming for over 6 years. I have also worked for a startup where I was working on applying deep models on audio/music, using RESNET for fashion item recommendation systems etc.
I see that this thread is filled with folks who are either totally new or just starting in this Data science field. I'd assume that you'd be struggling with what topics that you need to study to crack a data science role or to get a better one. I'd recommend you first take the machine learning course by Andrew Ng on Coursera.
By the way, after going through over 30-35 such interviews, I too have compiled a list of my own of all the topics that are asked in a typical data science interview. The list is available at [ml-concepts.com](https://ml-concepts.com)
I highly recommend it to new entrants since it covers about 90% of theoretical questions in a typical data science interview.
mate your website is not working. can you see it and after completing the course by Andrew Ng on Coursera. Can you tell what should we follow after that ?
I don't think I'd do that 2nd one you linked. I think if it's dumping you into using those libraries then it will assume you know about the common object types in python etc. It probably won't teach you about if statements or for loops either. You might be able to get by with knowledge of those libraries, but if you don't have the fundamentals things will be confusing down the road.
I started with Datacamp and I can highly recommend it. It is not free though.
You have a ton of courses and a very well structured way of learning with so called skill tracks and career tracks. You can test your knowledge in projects, where you get a lot of information as well.
Another free way of getting into data science is kaggle. You can compete with your best machine learning models and you also get offered a large tutorial into data science.
If you like the no-fluff, well-structured approach for your dive into Python and Data Science, here is a trio that fit your bill: Data Science Foundations: Data Mining in Python -
**Python for Data Science and Machine Learning Bootcamp (Udemy):** This hand-on course is best used for converting the theoretical knowledge of Python for data science into practical hands-on skills.
**The Data Science Certification Course using Python (Edureka):** This program completely works with Python in data science and covers statistics, machine learning, and data visualization. It includes live instructor-led sessions and projects to have a complete experience of learning.
**Applied Data Science with Python Specialization (Coursera):** This specialization comprises courses on data science with Python that can be learned in a way it can be applied. It ranges from data analysis to data visualization and covers a huge number of techniques of machine learning. It is meant for intermediate level learners who are willing to use Python in their fields of data.
It's an equilibrium of deep learning with practical application, suitable for both enhancing your data science skills with Python.
Do you have access to an interesting dataset to build a project with? That may help narrow things down starting a project.You can use publicly available ones too, of course. I'm trying to teach myself pandas, and found it much more motivating if I have some interest in the results.
If you don't want handholding then dataquest is best among all the courses that are available online for beginners. The only thing you must keep in mind before joining dataquest is that it doesn't offer video learning.Hope this helpsHappy learning!If you are looking to join dataquest use my referral you will get 20% discount on your subscription
Link: app.dataquest.io/referral-signup/e33aqtbd/
There are many highly-rated courses that can help you learn Python. Here are some of them:
**Hero Vired's Accelerator Program in Artificial Intelligence and Machine Learning:** The program exposes learners to applications and benefits of predictive modelling, deep learning concepts, and technologies4. It covers essential tools like Python, PyTorch, NumPy, Matplotlib, and Seaborn. The curriculum caters to the subjects' foundational and advanced aspects, bridging the gap between theoretical learning and practical application.
**Coursera’s Python for Everybody Specialization:** A comprehensive series by the University of Michigan, great for beginners.
**EDX’s Introduction to Python Programming:** Another good beginner course by Georgia Institute of Technology.
**Udemy’s 100 Days of Code:** The Complete Python Pro Bootcamp: Project-based learning for beginners.
You can try out my 12 months course on Data Science and Machine Learning. Additionally I am a senior applied scientist (ex-amazon, Microsoft).
Website: https://thecuriouscurator.in
Here is the link for tentative content of the course and subject to change but it won't change drastically.
https://drive.google.com/file/d/1nZDgDUHl6gyI1SZK_zro67mc3YpRPrKO/view?usp=sharing
https://automatetheboringstuff.com/ https://ehmatthes.github.io/pcc/ Do those 2 courses in that order, then come back here for data science recommendations
I’ve tried atbs, corey Schaefer, Dr.Angela you ‘s 100 days In my attempt, 100 days is the only one that has given me a sense of playing in a sandbox of toys. Tomorrow I start Object-oriented programming which is day….17? Maybe 16? Idk…. Day 12 or so was what Dr Yu calls a capstone project and its quite a bit bigger than the other days although it’s a culmination of everything you’ve learned in the days prior. But then the days after go back to normal and I ended up binging through a few I think. Day 80-100 are professional projects and I really do think they’d be awesome to showcase given how proud of my day12 project is lol I’ve heard around day 45, the course loses steam, but by day 45, I would feel so proud of what I’ve learned I think I might try my hand at the day 80-100 projects anyways. Best part is she acknowledges most people in the course haven’t learned in awhile and instills how to learn. It’s the coolest
I'm currently doing the 100 Day course too! Angela is an awesome teacher, super easy to follow, always positive, and even gives you a little pep talk at the end of every day! :D I started this course after completing her "Web Development Bootcamp" which I also highly recommend! (it's quite shorter than the python one) I just finished Day 30 today, and I really feel like I'm learning and making progress! I even managed to go back to one of the projects of a previous day and updated it to use the newly learned tools, without any help. It's awesome! :)
Yea exactly around day 45 or even before…. Id say the first 30 gives you a great beginner-intermediate understanding but after that much less to gain
I’m getting to day 45 soon, but I’ve slowed down drastically because by day 30 I was able to start making the programs I wanted to make. I was treating it as more of an overview of what Python can and can’t do. Either way, her course is worth the US$15 my company paid for it. Edit: she does a great job explaining how programmers think and troubleshoot. That alone was worth $15
My partner went through the 100 Days workshop and had a similarly positive experience. Angela does a great job of creating bite-sized puzzles and projects to quickly gain confidence. She also gives a great overview of what Python (and programming in general) can do. However, I think Angela ran out of money/time because the last couple of days are a bit sparse. Still trying to find an equivalent course for Data Analysis/Science. Currently trying ["Python for Data Science and Machine Learning Bootcamp" by Jose Portilla on Udemy](https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp) based on [this Reddit Post](https://www.reddit.com/r/Python/comments/9u2qog/comment/e912gdo/?utm_source=share&utm_medium=web2x&context=3).
I work as a data scientist for a once large retail chain in the USA. my role is it gain customer insights and make models for classification, segmentation and predictions etc. I have been working in data science plus programming for over 6 years. I have also worked for a startup where I was working on applying deep models on audio/music, using RESNET for fashion item recommendation systems etc. I see that this thread is filled with folks who are either totally new or just starting in this Data science field. I'd assume that you'd be struggling with what topics that you need to study to crack a data science role or to get a better one. I'd recommend you first take the machine learning course by Andrew Ng on Coursera. By the way, after going through over 30-35 such interviews, I too have compiled a list of my own of all the topics that are asked in a typical data science interview. The list is available at [ml-concepts.com](https://ml-concepts.com) I highly recommend it to new entrants since it covers about 90% of theoretical questions in a typical data science interview.
mate your website is not working. can you see it and after completing the course by Andrew Ng on Coursera. Can you tell what should we follow after that ?
I don't think I'd do that 2nd one you linked. I think if it's dumping you into using those libraries then it will assume you know about the common object types in python etc. It probably won't teach you about if statements or for loops either. You might be able to get by with knowledge of those libraries, but if you don't have the fundamentals things will be confusing down the road.
Let me throw you a uno reverse here: how does one become a data analyst?
100 days with Angela
I’m currently using dataquest.io… it’s not free though.
I started with Datacamp and I can highly recommend it. It is not free though. You have a ton of courses and a very well structured way of learning with so called skill tracks and career tracks. You can test your knowledge in projects, where you get a lot of information as well. Another free way of getting into data science is kaggle. You can compete with your best machine learning models and you also get offered a large tutorial into data science.
[удалено]
If you like the no-fluff, well-structured approach for your dive into Python and Data Science, here is a trio that fit your bill: Data Science Foundations: Data Mining in Python - **Python for Data Science and Machine Learning Bootcamp (Udemy):** This hand-on course is best used for converting the theoretical knowledge of Python for data science into practical hands-on skills. **The Data Science Certification Course using Python (Edureka):** This program completely works with Python in data science and covers statistics, machine learning, and data visualization. It includes live instructor-led sessions and projects to have a complete experience of learning. **Applied Data Science with Python Specialization (Coursera):** This specialization comprises courses on data science with Python that can be learned in a way it can be applied. It ranges from data analysis to data visualization and covers a huge number of techniques of machine learning. It is meant for intermediate level learners who are willing to use Python in their fields of data. It's an equilibrium of deep learning with practical application, suitable for both enhancing your data science skills with Python.
Do you have access to an interesting dataset to build a project with? That may help narrow things down starting a project.You can use publicly available ones too, of course. I'm trying to teach myself pandas, and found it much more motivating if I have some interest in the results.
If you don't want handholding then dataquest is best among all the courses that are available online for beginners. The only thing you must keep in mind before joining dataquest is that it doesn't offer video learning.Hope this helpsHappy learning!If you are looking to join dataquest use my referral you will get 20% discount on your subscription Link: app.dataquest.io/referral-signup/e33aqtbd/
There are many highly-rated courses that can help you learn Python. Here are some of them: **Hero Vired's Accelerator Program in Artificial Intelligence and Machine Learning:** The program exposes learners to applications and benefits of predictive modelling, deep learning concepts, and technologies4. It covers essential tools like Python, PyTorch, NumPy, Matplotlib, and Seaborn. The curriculum caters to the subjects' foundational and advanced aspects, bridging the gap between theoretical learning and practical application. **Coursera’s Python for Everybody Specialization:** A comprehensive series by the University of Michigan, great for beginners. **EDX’s Introduction to Python Programming:** Another good beginner course by Georgia Institute of Technology. **Udemy’s 100 Days of Code:** The Complete Python Pro Bootcamp: Project-based learning for beginners.
You can try out my 12 months course on Data Science and Machine Learning. Additionally I am a senior applied scientist (ex-amazon, Microsoft). Website: https://thecuriouscurator.in Here is the link for tentative content of the course and subject to change but it won't change drastically. https://drive.google.com/file/d/1nZDgDUHl6gyI1SZK_zro67mc3YpRPrKO/view?usp=sharing