Official Blog

A huge part of a data scientist's job is cleaning your data before jumping into analysis. Today, we're introducing a course by Daniel Chen to teach you how to do just that in Python. Enjoy!
Today we're launching our first Bayesian course: Beginning Bayes in R by Jim Albert! The course features 4 chapters, high-quality video, in-browser coding, and gamification.
The 150+ companies, resources, and tools that define the data science industry.
Peter Bull, author of DataCamp course "Machine Learning with the Experts: School Budgets", answers Hugo's questions in episode 16 of DataChats!
Today we're covering all that was released during the month of March. From all new courses, to articles, cheat sheets, and DataChats. If you missed something, you'll find it here.
"Machine Learning with the Experts: School Budgets" is our latest course, taught by Peter Bull. It's a case study from a DrivenData machine learning competition on school budgets.
Today we're releasing episode 15 of DataChats. Here, Hugo interviews Andreas Müller about his work at Columbia University, and as a contributor to scikit-learn. Check it out!
New course on Network Analysis in Python (Part 1) by Eric Ma! Networks are everywhere, and knowing how to analyze this type of data will open up a new world of possibilities for you as a data scientist.