Are you interested in Data Science? Great! That is something we have in common. We have been helping people become Data Scientists through our bootcamps and online courses for some time now. But education is only one part of being a great Data Scientist. With new technologies, tools, trends, and techniques emerging every day, you just have to follow what is going on in the Data Science world. The good news is that, with the Internet, all of the resources you might need are within your reach – newsletters, blogs, podcasts,... you name it. The bad news, on the other hand, is that the web is flooded with information and a lot of the content out there is of a dubious quality. Especially if you are new to Data Science, distinguishing between the two might be tricky. And, honestly, who has the time to check the background of all the authors and sources (if any) they are citing? In this blog post, our mentors reveal their own tactics and recommend which resources will help you stay on the top of the industry trends:

Lukas Toma

Founder and mentor at Basecamp, Lead Data Scientist at Prezly (@lukas_toma)

  • I setup Medium and use it regularly (the recommendations get better over time) and follow publications that are interesting, i.e. Towards Data Science.

  • I listen to the DataFramed podcast (by Datacamp).

  • I subscribed to Data Elixir and DataScience Weekly newsletters.

  • I also use Bloglovin’ to subscribe for specific data science newsletters – I regularly Google Data Science blogs to follow.

And the last piece of advice:

  • Actually read the content and go down interesting rabbit holes ;-)!

Juraj Kapasny

Founder and mentor at Basecamp, CEO at Knoyd (@jurajkapasny)

  • I follow these newsletters:

    • Data Machina, which offers a lot of content divided into different areas, so everyone can find what is interesting for them. The disadvantage is that the newsletter is not sent regularly.

    • DataScience Weekly

  • Medium daily digest and Bloglovin'

  • I follow some great Data Scientists on Twitter, such as Hilary Mason (@hmason), Peter Skomoroch (@peteskomoroch) and read their posts, but sometimes it is hard not to get lost in all the tweets and to find the good ones.

Matúš Bitara

Junior Data Scientist at Knoyd

  • Newsletters: Machine Learning Mastery, Analytics Vidhya – I find these two websites useful for learning about Python and Data Science

  • The O’Reilly books are a good starting point and serve as an introduction to various topics. When I come across something interesting there, I keep digging to find more advanced information about it.

  • Online courses: Udemy + Datacamp

  • Sometimes I watch Youtube channels, i.e. StatQuest with Josh Starmer, DataSchool

And that's more or less it. Then, of course, there are events, meetups, hackathons...but more about those later. As you can see, we were not exaggerating when we said that staying up-to-date is a crucial part of being a good Data Scientist. And here's what you should keep in mind:

  • One read post is worth a thousand unread blogs – it is better to find one source that you love and will read it on a regular basis than have dozens of unopened newsletters sitting in your mailbox, waiting for you to get back to them later (=never).

  • Be curious – if you find an interesting topic, search for more, ask questions, try out the proposed solutions,... In the end, you might find some big opportunity and even if not, you will learn a lot along the way.

  • Never stop learning – becoming a Data Scientist is an ongoing process that ends neither by earning a MOOC certificate nor by changing your job title. The field keeps constantly moving forward, and you sure don't want to be left behind.

Now, if that seems like a lot to digest at once, for starters, you can sign up for our own newsletter – the Basecamp Data Blast - in which case, we will take care of the "data preparation" for you. Every week, our mentors pick the four most interesting articles from all the content they went through and which they think you really shouldn’t miss. Sign up to have your weekly dose of Data Science delivered directly to your inbox.

And how do you keep up-to-date? Share your favourite content with us in the comments below.