14 Must-Know Statistics and Probability Terms for Data Science

Data Basics Catie Grasso

Data scientists: You may recognize or know some of these terms from your data science work, as they can be particularly helpful when applying statistics and probability to data science and machine learning. Whether you are working on a project where statistics might come in handy or you just want to discover (or freshen up on!) initial concepts, we hope you find these definitions clear and helpful. By knowing the statistical foundations of your work, you can bring a fresh perspective to a data project or reach a resolution faster by breaking down the basics instead of jumping right into the flashier machine learning techniques.

→ Get the Full Ebook: Intro to Stats & Probability for Data Science

GM1653-infographic-01-1

You May Also Like

AI Isn't Just for the Super Technical

Read More

The ABCs of AI Literacy: Why It’s Non-Negotiable for Enterprise Success

Read More

Ada Lovelace Day: Celebrating the Visionary Who Saw Beyond Numbers

Read More