Data Science Cheat Sheets

Working with dates and times is essential when manipulating data in Python. Learn the basics of working with datetime data in this cheat sheet.

ggplot2 is considered to be one of the most robust data visualization packages in any programming language. Use this cheat sheet to guide your ggplot2 learning journey.

With this SQL Window Functions cheat sheet, you'll have a handy reference guide to the various types of window functions in SQL.

Regular expressions (regex or regexp) are a pattern of characters that describe an amount of text. Regular expressions are one of the most widely used tools in natural language processing and allow you to supercharge common text data manipulation tasks.

In this data storytelling and communication cheat sheet, you'll learn about best practices for crafting data stories.

In this descriptive statistics cheat sheet, you'll learn about the most common statistical techniques for descriptive analytics.

With this data manipulation with dplyr in the R cheat sheet, you'll have a handy reference guide in your R upskilling journey.

With this SQL Joins cheat sheet, you'll have a handy reference guide to joining data in SQL.

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