How I Stay Up-To-Date With Data Science

Staying up to date with Data Science, whilst filtering the gold from the impurities is imperative for any Data Scientist who is serious about mastering their craft.

Ever since I made a pledge to myself about putting out 3 blog post a week, having reliable, inspirational, and effective resources has been paramount to ensuring I meet the pledge I made to myself.

With that being said, here’s how I stay up to date…

Towards Data Science

A Medium publication sharing concepts, ideas, and codes.

Towards Data Science is generally what I use the most. A popular medium publication that covers a range of things in technology such as Programming, Data Visualization, Machine Learning, Deep Learning and of course Data Science.

Recently, I’ve also been delving into the Towards Data Science Podcast on Spotify — I personally prefer shorter podcast (1 hour or less) because my I tend to listen to them in the morning during my gym session, hence why this podcast fits the bill.

Towards AI – The Best of Tech, Science, and Engineering

Welcome to Towards AI The Best of Tech, Science, and Engineering. Updates on Towards AI Latest Stories [rev_slider…

“Towards AI is a world’s leading multidisciplinary publication focused on science, technology, and engineering with an emphasis on diversity, equity, and inclusion. We publish the best of tech, science, engineering, and the future.” — (Source: Towards AI About Page)

Towards AI is growing in popularity quite rapidly. I first came across their work due to the great writings of Benjamin Obi Tayo Ph.D. — whom if you don’t follow, I’d highly recommend it.

I’ve found the writings on Towards AI are much broader than that of Towards Data Science and there are many interesting reads.


Machine Learning, Data Science, Big Data, Analytics, AI

The first ever site I came across when I was first learning Machine Learning was probably KDnuggets, and fortunately for me, I’ve had many of the articles I’ve shared on Medium reshared on KDnuggets (absolute honour!).

I’d highly recommend bookmarking KDnuggets.

Beyond the blogs and the news, there are also webinars, tutorials, courses, and Datasets that are available on the website.

Note: I must note that I have not used any of their courses, however given the quality of the curated articles on the website, I have no doubt that the rest of the content will be extremely useful.

Learn R, Python & Data Science Online

Learn Data Science from the comfort of your browser, at your own pace with DataCamp’s video tutorials & coding…

I may be wrong, but I believe Datacamp may be famous for their intensive courses that cover the full journey from an aspiring Data Scientist to a full-time professional.

I recently came across the community blogs which have been very inspirational for some of the articles I’ve written.

Note: Many of the articles I’ve come across on Datacamp have been more technical, although there are some very good advice giving articles such as How To Become A Data Scientist in 8 Steps.

Analytics Vidhya

Learn about machine learning, artificial intelligence, business analytics, data science, big data, data visualizations…

Analytics Vidhya is another popular platform that offers the complete Data Science ecosystem — I’ve also been graced with the opportunity to write for Analytics Vidhya.

On Analytics Vidhyam, you may decide to learn about top trends in industry, take online courses, do hackathons, and more, although, I mainly find myself on Analytics Vidhya for “deep dive” tutorials (especially about new techniques — or new techniques to me I should probably say).

Chai Time Data Science

You’ve successfully subscribed to Chai Time Data Science Great! Next, complete checkout for full access to Chai Time…

It would be incredibly mean of me not to include the Chai-Time Data Science podcast because it has been magnificent for me.

I’ve been a listener since the first ever interview of which I believe was with Abhishek Thakur. At the time I’d never heard about Abhishek (who was a 3x Grandmaster then) or Kaggle, but I couldn’t help returning to the podcast for the latest winning solution (on a Kaggle competition) interview.

In the very near future, I plan on reading more research papers and attending more events — given that it is safe to attend (if not online will do). By all means, these aren’t the only channels to stay up to date with Data Science, so if you have some sources you’d like to share, leave a response in the comments below or send me a message on LinkedIn.

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