Data Science Cheat Sheets

Quarto is an open-source publishing system that combines text, code, and output in one doc. It supports Python, R, Julia, and Observable JS.

Learn the basics of probability with our Introduction to Probability Rules Cheat Sheet. Quickly reference key concepts and formulas for finding probability, conditional probability, and more.

Master the fundamentals of data governance with our Data Governance Fundamentals Cheat Sheet. Quickly reference key concepts, best practices, and key components of a data governance program.

Learn the basics of Excel with our quick and easy cheat sheet. Have the basics of formulas, operators, math functions and more at your fingertips.

Welcome to our cheat sheet for working with text data in Python! We've compiled a list of the most useful functions and packages for cleaning, processing, and analyzing text data in Python, along with clear examples and explanations, so you'll have everything you need to start developing!

Welcome to our cheat sheet for working with dates and times in R! This resource provides a list of common functions and packages for manipulating, analyzing, and visualizing data with dates and times.

Welcome to our cheat sheet for working with text data in R! This resource is designed for R users who need a quick reference guide for common tasks related to cleaning, processing, and analyzing text data.

In this cheat sheet, you'll have a guide around the top supervised machine learning algorithms, their advantages and disadvantages, and use-cases.

In this cheat sheet, you'll have a guide around the top unsupervised machine learning algorithms, their advantages and disadvantages and use cases.

Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.

Plotly is one of the most widely used data visualization packages in Python. Learn more about it in this cheat sheet.

Learn all the fundamentals of Julia in this comprehensive cheat sheet.