In this blog, we delve into what data science is and explore the answers to frequently asked questions about the various aspects of data science.

Creating and showcasing a solid data science portfolio is an essential step in bringing what you learn into reality. Conceptualizing, developing, and publishing your work requires consistency and persistence, but your hard work can help you position yours better.

In this edition of the Weekly Roundup, we cover PyScript - the latest release from Anaconda, a new world speed record for autonomous vehicles, and more.

Discover what Shell is and how learning it can make you a more efficient and versatile data scientist.

Highlights of data science presentations from the US Air Force Operations Research Symposium.

New milestone alert! We’re bringing DataCamp for Classrooms to secondary schools in Poland. Apply today to join the 700,000 teachers and students worldwide who have learned on DataCamp for free!

Learn how to become a machine learning engineer and discover why it is one of the most lucrative and dynamic career paths in the data world.

DataCamp Donates is proud to partner with one of the biggest humanitarian and disaster relief organizations to support their strategic needs.

While no two data science careers are exactly alike, there are some best practices that should work for everyone. Here’s our essential guide for developing your skills and reaching the next stage of your career.

Here’s our essential guide on the hallmarks of a great data science portfolio—and why creating one can boost your career prospects.

This article covers major news and updates from the field of data science and machine learning that happened last month. Spanning different topics such as tutorials, research, new packages, use cases, and more.

In part 2, we lay out a clear road map for becoming a freelance data scientist and share 13 career-boosting tips for freelance data scientists taking their first steps down this exciting path.