Data Science Cheat Sheets

In this cheat sheet, learn how to apply Docker in your Data Science projects

In this cheat sheet, you'll learn about data quality dimensions, allowing you to ensure that your data is fit for purpose.

In this cheat sheet, gain access to 60+ ChatGPT prompts for data science tasks.

In this cheat sheet, you will learn how to reshape data with tidyr. From separating and combining columns, to dealing with missing data, you'll get the download on how to manipulate data in R.

Pandas DataFrames are commonly used in Python for data analysis, with observations containing values or variables related to a single object and variables representing attributes across all observations.

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 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. The cheat sheet includes a list of useful functio

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 everyt

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. Whether you're a beginner or an experienced R programm