Machine learning is one of the hottest topics in data science. Here is a list of 15 books to break into the field or become an expert

Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.

In this article, we will cover the main differences between Python 2 and 3, which one is the best, and which one you should go for to start your data science journey

Discover what supervised machine learning is, how it compares to unsupervised machine learning and how some essential supervised machine learning algorithms work

DataCamp’s Teams and Assignments features make the tough job of teaching a whole lot easier. Group your students, set their learning goals, and track their progress in a snap on DataCamp Classrooms. We’ll even remind them to complete their assignments for you.

DataCamp Recruit is built to help you find, hire and scale industry leading data teams. The platform provides access to one of the largest sources of certified data professionals, with clear insights into the precise skills, experience, and expertise that they have.

DataCamp Certification offers learners an official way to prove they are job ready. Here's one learner's story about her journey in achieving a DataCamp Certification and starting her new dream career.

Wish you could see the data behind your Power BI visualizations? Here’s our guide to exporting Power BI data to Excel.

A comprehensive list of data science books covering a wide variety of topics spanning programming, statistics, data visualization, and more

Discover the DataCamp XP Challenge and learn your way to a $1500 prize!

In this recap from DataCamp’s RADAR conference, Mai AlOwaish, CDO of Gulf Bank, shares how the Data Ambassador program at Gulf Bank is enabling a data culture within the company.

DataCamp Classrooms is now available for all secondary schools in Australia. All Australian students 16+ and teachers can access our platform for free. Discover the story behind how this launch came about and how you, too, can get involved in democratizing data science.