Data Science Cheat Sheets

Git lets you manage changes made to files and directories in a project. It allows you to keep track of what you did, undo any changes you decide you don't want, and collaborate at scale with others.

This cheat sheet will cover an overview of getting started with R. Use it as a handy, high-level reference for a quick start with R. For more detailed R Cheat Sheets, follow the highlighted cheat sheets below.

This cheat sheet is your handy companion when working with DAX formulas and statements in Power BI.

This handy one-page reference presents the Python basics that you need to do data science

In this Tableau Cheat Sheet, you'll get the download on creating your first visualization, top visualizations in Tableau, creating dashboards, stories, and more.

In this data visualization cheat sheet, you'll learn about the most common data visualizations to employ, when to use them, and their most common use-cases.

In this Power BI Cheat Sheet, you'll get the download on creating your first visualization, top visualizations in Power BI, using DAX, and more.

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

With this SQL cheat sheet, you'll have a handy reference guide to basic querying tables, filtering data, and aggregating data

This tidyverse cheat sheet will guide you through the basics of the tidyverse, and 2 of its core packages: dplyr and ggplot2!

Check out the first official spaCy cheat sheet! A handy two-page reference to the most important concepts and features.

This PySpark cheat sheet with code samples covers the basics like initializing Spark in Python, loading data, sorting, and repartitioning.