Data Science Cheat Sheets

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

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!

This Python Seaborn cheat sheet with code samples guides you through the data visualization library that is based on Matplotlib.

This Python cheat sheet is a handy reference with code samples for doing linear algebra with SciPy and interacting with NumPy.

Get started on time series in R with this xts cheat sheet, with code examples.

The data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.