In the third entry of data demystified, we’ll define the most common pieces of jargon you hear in data science today. From machine learning to deep learning, here’s all the subfields of data you need to know.

Learn the critical difference between correlation and causation in data analysis. Understand real-world examples and avoid common pitfalls in interpreting data.

In the final part of data demystified, we outline the most common types of AI bias, and why data literacy helps avoid harmful impacts from AI.

The current market dynamics, state of inflation and fears of a recession have made recruiting for technical talent even more complex. Despite this, there are opportunities for technical recruiters to stay competitive and beat out the competition for top top talent.

Learn the differences and similarities between Power BI and Excel, and when you should use each.

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 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.

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.