In this post, I aim to share a list of resources that I personally found helpful in my journey so far. If you're someone who is just getting started, preparing for interviews, or looking for new material, I hope you find this useful. I've divided these resources into groups. There's a wide variety of roles available in this field -- Data Scientist, Product Analyst, Data Analyst, Data Engineer, Machine Learning Engineer, Computer Vision Engineer etc., and each role has specific focus areas. However, here's a general list of topics that I found to be covered to some extent in each role: You can also check out more blogs from the author here: https://ruder.io/

If you're reading this, you already know (or could reasonably conclude by powers of deduction) that we (Yhat) have a blog. The tagline of our blog is simple, machine learning, data science, engineering. Those are the things our team writes about a few times a week. We like to think we have some pretty good ideas (flying a semi-autonomous drone around the office, for example), but those ideas are really just some combination of the team's thoughts, our reader's ideas, and what we read and steal from all of our favorite bookmarked sites/newsletters/blogs and community forums. In the words of Austin Kleon (a very cool writer/artist), "Every new idea is just a mashup or a remix of one or more previous ideas."

Tutorials, books, articles, data sets, certifications, you name it. All about data science, machine learning and related topics. You can find them with a simple keyword search: enter the keyword "free" in the DSC's search box, and here are the results. Below is a screenshot of the DSC search results page, for the keyword "free". It shows the top 6 results, out of dozens of highly relevant search results.

This list was started a while back and rather small, but it grew up to 200 articles in the past few weeks. It will reach 400 when completed. Essentially, this is the best of all our weekly digests. Also, it features all the articles (double-starred in red) that will be part of my upcoming book Data Science 2.0. So if you missed many of our recent tweets, here's a chance to see all this content at once, on one web page.

This list was started a while back and rather small, but it grew up to 200 articles in the past few weeks. It will reach 400 when completed. Essentially, this is the best of all our weekly digests. Also, it features all the articles (double-starred in red) that will be part of my upcoming book Data Science 2.0. So if you missed many of our recent tweets, here's a chance to see all this content at once, on one web page.

This list was started a while back and rather small, but it grew up to 200 articles in the past few weeks. It will reach 400 when completed. Essentially, this is the best of all our weekly digests. Also, it features all the articles (double-starred in red) that will be part of my upcoming book Data Science 2.0. So if you missed many of our recent tweets, here's a chance to see all this content at once, on one web page.

Tutorials, books, articles, data sets, certifications, you name it. All about data science, machine learning and related topics. You can find them with a simple keyword search: enter the keyword "free" in the DSC's search box, and here are the results. Below is a screenshot of the DSC search results page, for the keyword "free". It shows the top 6 results, out of dozens of highly relevant search results.