Data Science Gold Rush
By: Przemek Chojecki
Tags: Machine Learning, Education, Data Science, YouTube, Programming

Data Science Gold Rush

Data Science is running our world. How to use it to your benefit.

We’re living in the golden age of data. We leave a digital footprint on every website and web service or app we visit. And companies that mine data and know how to use it, have become the largest companies in the world. Join the dark side and learn data science to understand what’s going on.

Data Science Gold Rush: data science books and data science courses.

Data Science Rush

I’m a huge fan of organizing and collecting. I love being productive and while I’ve been creating different lists of books, courses, movies to see for myself at one point I’ve decided it’s high time to make it public.

Why?

Because sharing is caring and I care about the Data Science community. Collecting knowledge for yourself is, of course, great, but it’s even better to go out there and share it. Even if it’s hard.

That’s how I’ve started posting texts almost daily on Medium about Data Science, Machine Learning and Artificial Intelligence. In the last two months, I went from dozens of followers to over 1,500 followers and I’m really humbled by it. It’s a validation that what I’m doing is right.

I wanted to thank you to all of you here. I plan on keep on going and push even harder, by writing series of articles, doing courses both in text and in video (see below) and putting some more content out there which will be helpful and would talk about things which matter in Data Science.

Moreover, I’ve started a website, Data Science Rush, where I collect Data Science books and Data Science courses in one place. Have a look!

Data Science YouTube

Apart from writing articles on Medium, I’ve decided to rebuild my YouTube channel around Data Science. Since November I’ve deleted my old channel, only saving a couple of videos and started everything from scratch.

I’m not new to YouTube as I’ve been running a channel in Polish for almost 3 years now, but never with much success. I got to almost 700 subscribers after that time, and though I’ve learned a lot about what it takes to make a good (or better) video, I was still lacking in a larger appeal, mostly because of a lack of focus and lack of professionalism.

It’s a completely different story now. I’m totally focused on Data Science, Machine Learning, Artificial Intelligence and their applications. I’ve posted two short courses already and I plan to release more content about practical approach to Data Science.

If you want to start, please subscribe to my channel. Have a look also at my two courses:

Let me know what you think about it and what videos you’d like to see next.

Finding Gold in Data

What is my endgoal? I want to learn and share my knowledge both through text and video, alongside building awesome platforms and web services through separate start-ups or ventures.

I have talked already about Data Science Rush, but there’s more to come.

Definitely I will create more educational content, but I also want to document my way of doing machine learning and data science, and talk about projects I’m engaged in. For example I still haven’t talked much about text-processing platform I’m building or PetaCrunch, an AI-powered media company.

For now, I wanted to thank you for reading this manifest and following my texts and videos. This is just the beginning of a long and exciting adventure into technology and AI that awaits us in the upcoming years. I strongly believe in the transforming power of Machine Learning and we’re already seeing some of its fruits. But there’s definitely more to come.

Finally if you want to engage even more in what I do, definitely let me know by following me on Twitter or becoming a Patron on my Patreon. Patreon is great, because you’ll be able to contribute to what I’m creating and what should I write about next. I’m open to suggestions, collaborations, joint projects and I’m happy to help, especially if you have tech related problems.

Have a great new Data Science year!