List of Data Science Cheatsheets to rule the world.

• Business Science

  • Business Science Problem Framework
  • Data Science with Python Workflow
  • Data Science with R Workflow

• Python

  • Python Basics
  • Pandas Basics
  • Pandas
  • Importing Data
  • Jupyter
  • Numpy Basics
  • Beginners Python Cheat Sheet
  • Intermediate Python
  • Python REGEX
  • Python 3 Memento

• R

  • Tidiverse
  • data.table
  • xts
  • Base R
  • Data Import with readr
  • Data Transformation with Dplyr
  • Apply Functions with purrr
  • Data transformation with data.table
  • Dates and Times with lubridate
  • Randomizr
  • Regular Expressions
  • Work with Strings with stringr
  • Tidy Evaluation with rlang
  • Xplain
  • Sintax Comparison
  • Data and Variable Transformation with sjmisc
  • R Markdown (PDF)
  • Package Development with devtools

• Math and Calculus

  • Refresher Algebra and Calculus
  • Refresher Probabilities and Statistics
  • Fundamentals of Probabilities

• Big Data

  • Pyspark RDD
  • Pyspark DF
  • Dask
  • Sparklyr

• Machine Learning

  • Scitk-Learn (PDF)
  • Machine Learning Modelling in R
  • Caret
  • Estimatr
  • H2O
  • mlr
  • Regression
  • VIP Supervised Learning
  • Segmentation and Clustering
  • VIP Unsupervised Learning
  • VIP Machine Learning Tips and Tricks
  • Choosing the right model

• Deep Learning -Neural Nets

  • Keras RStudio - Keras
  • Deep Learning Basics
  • Convolutional Neural Networkds
  • Recurrent Neural Networks
  • Tips and Tricks

• SQL

  • SQL cheatsheet by sqltutorial (PDF)
  • SQL cheatsheet by Rebel Labs

• Data Visualization

  • Matplotlib
  • Seaborn
  • Bokeh
  • Comprehensive Guide to Data Visualization in Python
  • Ggplot2
  • Leaflet
  • Cartography
  • Comprehensive Guide to Data Visualization in R
  • Simple Features sf
  • survminer

• Data Science in General and Others

  • Shiny
  • Vim
  • Emacs
  • Git - Atlassian's Cheatsheet
  • DVC
  • BASH

• Data Science Cheatsheet Takeaway

• Python Basics (PDF)

• Pandas Basics (PDF)

• Pandas (PDF)

• Importing Data (PDF)

• Jupyter (PDF)

• Numpy Basics (PDF)

• Beginners Python Cheat Sheet (Long PDF)

• Intermediate Python (PDF)

• Python REGEX (PDF)

• Python 3 Memento (PDF)

• Tidiverse (PDF)

• data.table (PDF)

-xts (PDF)

• R Studio IDE (PDF)

• Base R (PDF)

• Data Import with readr (PDF)

• Data Transformation with Dplyr (PDF)

• Apply Functions with purrr (PDF)

• Data transformation with data.table (PDF)

• Dates and Times with lubridate (PDF)

• Randomizr (PDF)

• Regular Expressions (PDF)

• Work with Strings with stringr (PDF)

• Tidy Evaluation with rlang (PDF)

• Xplain (PDF)

• Sintax Comparison (PDF)

• Data and Variable Transformation with sjmisc (PDF)

• R Markdown (PDF)

• Package Development with devtools (PDF)

From @afshinea, @stat110 and @wzchen:

• Refresher Algebra and Calculus (PDF)

• Refresher Probabilities and Statistics (PDF)

• Fundamentals of Probabilities (PDF)

• Pyspark RDD (PDF)

• Pyspark DF (PDF)

• Dask (PDF)

• Sparklyr (PDF)

• Scitk-Learn (PDF)

• Machine Learning Modelling in R (PDF)

• Caret (PDF)

• Estimatr (PDF)

_ H2O (PDF)

• mlr (PDF)

• Regression (PDF)

From @afshinea:

• VIP Supervised Learning (PDF)

• Segmentation and Clustering (PDF)

From @afshinea:

• VIP Unsupervised Learning (PDF)

From @afshinea:

• VIP Machine Learning Tips and Tricks (PDF)

• Keras RStudio (PDF)

- Keras (PDF)

From @afshinea:

• Deep Learning Basics (PDF)

• Convolutional Neural Networkds (PDF)

• Recurrent Neural Networks (PDF)

• Tips and Tricks (PDF)

• SQL cheatsheet by sqltutorial (PDF)

• SQL cheatsheet by Rebel Labs

• Matplotlib (PDF)

• Seaborn (PDF)

• Bokeh (PDF)

• Comprehensive Guide to Data Visualization in Python

• Ggplot2 (PDF)

• Leaflet (PDF)

• Cartography (PDF)

• Comprehensive Guide to Data Visualization in R

• Simple Features sf (PDF)

• survminer (PDF)

• Shiny (PDF)

• Vim (PDF)

• Emacs (PDF)

• Git - Atlassian's Cheatsheet (PDF)

• DVC (PDF)

• BASH (PDF)

By @ml874

• Data Science Cheatsheet (PDF)