https://github.com/FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
https://github.com/FavioVazquez/ds-cheatsheets
cheatsheet datascience jupyter programming python r spark
Last synced: 20 days ago
JSON representation
List of Data Science Cheatsheets to rule the world
- Host: GitHub
- URL: https://github.com/FavioVazquez/ds-cheatsheets
- Owner: FavioVazquez
- License: mit
- Created: 2018-12-20T17:02:46.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-07-18T03:39:29.000Z (9 months ago)
- Last Synced: 2025-03-19T05:23:09.402Z (27 days ago)
- Topics: cheatsheet, datascience, jupyter, programming, python, r, spark
- Homepage:
- Size: 117 MB
- Stars: 14,979
- Watchers: 542
- Forks: 3,888
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-repos - Data Science - cheatsheets/blob/master/LICENSE) | (Index / CheatSheets)
- awesome-ai-list-guide - ds-cheatsheets
- awesome-repositories - Data Science - cheatsheets/blob/master/LICENSE ) | (▶️ Content / CheatSheets)
- jimsghstars - FavioVazquez/ds-cheatsheets - List of Data Science Cheatsheets to rule the world (Others)
- StarryDivineSky - FavioVazquez/ds-cheatsheets
README
# Data Science Cheatsheets
List of Data Science Cheatsheets to rule the world.
## Table of Contents
- [Business Science](https://github.com/FavioVazquez/ds-cheatsheets#business-science)
- [Business Science Problem Framework](https://github.com/business-science/cheatsheets/blob/master/Business_Science_Problem_Framework.pdf)
- [Data Science with Python Workflow](https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_Python_Workflow.pdf)
- [Data Science with R Workflow](https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_R_Workflow.pdf)
- [Python](https://github.com/FavioVazquez/ds-cheatsheets#python)
- [Python Basics](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/python_basics.pdf)
- [Pandas Basics](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/pandas_basics.pdf)
- [Pandas](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/pandas.pdf)
- [Importing Data](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/import_data.pdf)
- [Jupyter](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/jupyter.pdf)
- [Numpy Basics](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/numpy_basics.pdf)
- [Beginners Python Cheat Sheet](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Python_Crash_Course/Beginners-Python-Cheat-Sheet.pdf)
- [Intermediate Python](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Dataquest/Intermediate-Python-Cheat-Sheet.pdf)
- [Python REGEX](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Dataquest/python-regular-expressions-cheat-sheet.pdf)
- [Python 3 Memento](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Others/mementopython3-english.pdf)
- [R](https://github.com/FavioVazquez/ds-cheatsheets#r)
- [Tidiverse](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/R/Datacamp/tidiverse_beginners.pdf)
- [data.table](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/R/Datacamp/data_table.pdf)
- [xts](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/R/Datacamp/xts.pdf)
- [Base R](https://github.com/rstudio/cheatsheets/blob/master/base-r.pdf)
- [Data Import with readr](https://github.com/rstudio/cheatsheets/blob/master/data-import.pdf)
- [Data Transformation with Dplyr](https://github.com/rstudio/cheatsheets/blob/master/data-transformation.pdf)
- [Apply Functions with purrr](https://github.com/rstudio/cheatsheets/blob/master/purrr.pdf)
- [Data transformation with data.table](https://github.com/rstudio/cheatsheets/blob/master/datatable.pdf)
- [Dates and Times with lubridate](https://github.com/rstudio/cheatsheets/blob/master/lubridate.pdf)
- [Randomizr](https://github.com/rstudio/cheatsheets/blob/master/randomizr.pdf)
- [Regular Expressions](https://github.com/rstudio/cheatsheets/blob/master/regex.pdf)
- [Work with Strings with stringr](https://github.com/rstudio/cheatsheets/blob/master/strings.pdf)
- [Tidy Evaluation with rlang](https://github.com/rstudio/cheatsheets/blob/master/tidyeval.pdf)
- [Xplain](https://github.com/rstudio/cheatsheets/blob/master/xplain.pdf)
- [Sintax Comparison](https://github.com/rstudio/cheatsheets/blob/master/syntax.pdf)
- [Data and Variable Transformation with sjmisc](https://github.com/rstudio/cheatsheets/blob/master/sjmisc.pdf)
- [R Markdown (PDF)](https://github.com/rstudio/cheatsheets/blob/master/rmarkdown-2.0.pdf)
- [Package Development with devtools](https://github.com/rstudio/cheatsheets/blob/master/package-development.pdf)
- [Math and Calculus](https://github.com/FavioVazquez/ds-cheatsheets#math-and-calculus)
- [Refresher Algebra and Calculus](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Math_Calculus/refresher-algebra-calculus.pdf)
- [Refresher Probabilities and Statistics](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Math_Calculus/refresher-probabilities-statistics.pdf)
- [Fundamentals of Probabilities](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Math_Calculus/Probability%20Cheatsheet.pdf)
- [Big Data](https://github.com/FavioVazquez/ds-cheatsheets#big-data)
- [Pyspark RDD](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Big_Data/pyspark_rdd.pdf)
- [Pyspark DF](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Big_Data/pyspark_df.pdf)
- [Dask](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Big_Data/daskcheatsheet.pdf)
- [Sparklyr](https://github.com/rstudio/cheatsheets/blob/master/sparklyr.pdf)
- [Machine Learning](https://github.com/FavioVazquez/ds-cheatsheets#machine-learning)
- [Scitk-Learn (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/scikit-learn.pdf)
- [Machine Learning Modelling in R](https://github.com/rstudio/cheatsheets/blob/master/Machine%20Learning%20Modelling%20in%20R.pdf)
- [Caret](https://github.com/rstudio/cheatsheets/blob/master/caret.pdf)
- [Estimatr](https://github.com/rstudio/cheatsheets/blob/master/estimatr.pdf)
- [H2O](https://github.com/rstudio/cheatsheets/blob/master/h2o.pdf)
- [mlr](https://github.com/rstudio/cheatsheets/blob/master/mlr.pdf)
- [Regression](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Supervised%20Learning/bsu-regression.pdf)
- [VIP Supervised Learning](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Supervised%20Learning/cheatsheet-supervised-learning.pdf)
- [Segmentation and Clustering](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Unsupervised%20Learning/segmentation_clustering.pdf)
- [VIP Unsupervised Learning](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Unsupervised%20Learning/cheatsheet-unsupervised-learning.pdf)
- [VIP Machine Learning Tips and Tricks](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Tricks/cheatsheet-machine-learning-tips-and-tricks.pdf)
- [Choosing the right model](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Choosing_Model/img/microsoft-machine-learning-algorithm-cheat-sheet-v7-1.png)
- [Deep Learning](https://github.com/FavioVazquez/ds-cheatsheets#deep-learning)
-[Neural Nets](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/Neural%20Network%20Cells.png)
- [Keras RStudio](https://github.com/rstudio/cheatsheets/blob/master/keras.pdf)
- [Keras](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/keras.pdf)
- [Deep Learning Basics](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-deep-learning.pdf)
- [Convolutional Neural Networkds](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-convolutional-neural-networks.pdf)
- [Recurrent Neural Networks](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-recurrent-neural-networks.pdf)
- [Tips and Tricks](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-deep-learning-tips-tricks.pdf)
- [SQL](https://github.com/FavioVazquez/ds-cheatsheets#sql)
- [SQL cheatsheet by sqltutorial (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/SQL/SQL-cheat-sheet.pdf)
- [SQL cheatsheet by Rebel Labs](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/SQL/zt_sql_cheat_sheet.pdf)
- [Data Visualization](https://github.com/FavioVazquez/ds-cheatsheets#data-visualization)
- [Matplotlib](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/matplotlib.pdf)
- [Seaborn](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/seaborn.pdf)
- [Bokeh](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/bokeh.pdf)
- [Comprehensive Guide to Data Visualization in Python](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Data_Visualization/img/data-visualisation-infographics-python.jpg)
- [Ggplot2](https://github.com/rstudio/cheatsheets/blob/master/data-visualization-2.1.pdf)
- [Leaflet](https://github.com/rstudio/cheatsheets/blob/master/leaflet.pdf)
- [Cartography](https://github.com/rstudio/cheatsheets/blob/master/cartography.pdf)
- [Comprehensive Guide to Data Visualization in R](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Data_Visualization/Comprehensive%20Guide%20to%20Data%20Visualization_R.pdf)
- [Simple Features sf](https://github.com/rstudio/cheatsheets/blob/master/sf.pdf)
- [survminer](https://github.com/rstudio/cheatsheets/blob/master/survminer.pdf)
- [Data Science in General and Others](https://github.com/FavioVazquez/ds-cheatsheets#data-science-in-general-and-others)
- [Shiny](https://github.com/rstudio/cheatsheets/blob/master/shiny.pdf)
- [Vim](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/Text_Editors/Vim/vim_cheat_sheet_for_programmers_print.pdf)
- [Emacs](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/Text_Editors/Emacs/How-to-learn-Emacs-v2-large.pdf)
- [Git - Atlassian's Cheatsheet](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/Git/atlassian-git-cheatsheet.pdf)
- [DVC](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/DVC/DVC_cheatsheet.pdf)
- [BASH](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/BASH/bash_cheat_sheet.pdf)- [Data Science Cheatsheet Takeaway](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/data-science-cheatsheet.pdf)
----------------------------------------# [Business Science](https://www.business-science.io/)
## [Business Science Problem Framework (PDF)](https://github.com/business-science/cheatsheets/blob/master/Business_Science_Problem_Framework.pdf)

## [Data Science with Python Workflow (PDF)](https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_Python_Workflow.pdf)

## [Data Science with R Workflow (PDF)](https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_R_Workflow.pdf)

# Python
## Datacamp
- [Python Basics (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/python_basics.pdf)
- [Pandas Basics (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/pandas_basics.pdf)
- [Pandas (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/pandas.pdf)
- [Importing Data (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/import_data.pdf)
- [Jupyter (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/jupyter.pdf)
- [Numpy Basics (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/numpy_basics.pdf)
## [Python Crash Course](https://github.com/ehmatthes/pcc)
- [Beginners Python Cheat Sheet (Long PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Python_Crash_Course/Beginners-Python-Cheat-Sheet.pdf)

## Dataquest
- [Intermediate Python (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Dataquest/Intermediate-Python-Cheat-Sheet.pdf)

- [Python REGEX (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Dataquest/python-regular-expressions-cheat-sheet.pdf)

## Others
- [Python 3 Memento (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Others/mementopython3-english.pdf)

# R
## Datacamp
- [Tidiverse (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/R/Datacamp/tidiverse_beginners.pdf)
- [data.table (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/R/Datacamp/data_table.pdf)
-[xts (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/R/Datacamp/xts.pdf)
## RStudio
- [R Studio IDE (PDF)](https://github.com/rstudio/cheatsheets/blob/master/rstudio-ide.pdf)
- [Base R (PDF)](https://github.com/rstudio/cheatsheets/blob/master/base-r.pdf)

- [Data Import with readr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/data-import.pdf)

- [Data Transformation with Dplyr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/data-transformation.pdf)
- [Apply Functions with purrr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/purrr.pdf)

- [Data transformation with data.table (PDF)](https://github.com/rstudio/cheatsheets/blob/master/datatable.pdf)

- [Dates and Times with lubridate (PDF)](https://github.com/rstudio/cheatsheets/blob/master/lubridate.pdf)

- [Randomizr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/randomizr.pdf)

- [Regular Expressions (PDF)](https://github.com/rstudio/cheatsheets/blob/master/regex.pdf)

- [Work with Strings with stringr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/strings.pdf)

- [Tidy Evaluation with rlang (PDF)](https://github.com/rstudio/cheatsheets/blob/master/tidyeval.pdf)

- [Xplain (PDF)](https://github.com/rstudio/cheatsheets/blob/master/xplain.pdf)

- [Sintax Comparison (PDF)](https://github.com/rstudio/cheatsheets/blob/master/syntax.pdf)

- [Data and Variable Transformation with sjmisc (PDF)](https://github.com/rstudio/cheatsheets/blob/master/sjmisc.pdf)

- [R Markdown (PDF)](https://github.com/rstudio/cheatsheets/blob/master/rmarkdown-2.0.pdf)

- [Package Development with devtools (PDF)](https://github.com/rstudio/cheatsheets/blob/master/package-development.pdf)

# Math and Calculus
From @afshinea, @stat110 and @wzchen:
- [Refresher Algebra and Calculus (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Math_Calculus/refresher-algebra-calculus.pdf)

- [Refresher Probabilities and Statistics (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Math_Calculus/refresher-probabilities-statistics.pdf)


- [Fundamentals of Probabilities (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Math_Calculus/Probability%20Cheatsheet.pdf)









# Big Data
## Python
- [Pyspark RDD (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Big_Data/pyspark_rdd.pdf)

- [Pyspark DF (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Big_Data/pyspark_df.pdf)

- [Dask (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Big_Data/daskcheatsheet.pdf)

## R
- [Sparklyr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/sparklyr.pdf)

# Machine Learning
## Python
- [Scitk-Learn (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/scikit-learn.pdf)

## R
- [Machine Learning Modelling in R (PDF)](https://github.com/rstudio/cheatsheets/blob/master/Machine%20Learning%20Modelling%20in%20R.pdf)

- [Caret (PDF)](https://github.com/rstudio/cheatsheets/blob/master/caret.pdf)

- [Estimatr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/estimatr.pdf)

_ [H2O (PDF)](https://github.com/rstudio/cheatsheets/blob/master/h2o.pdf)

- [mlr (PDF)](https://github.com/rstudio/cheatsheets/blob/master/mlr.pdf)

## Supervised Learning
- [Regression (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Supervised%20Learning/bsu-regression.pdf)
From @afshinea:
- [VIP Supervised Learning (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Supervised%20Learning/cheatsheet-supervised-learning.pdf)



## Unsupervised Learning
- [Segmentation and Clustering (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Unsupervised%20Learning/segmentation_clustering.pdf)
From @afshinea:
- [VIP Unsupervised Learning (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Unsupervised%20Learning/cheatsheet-unsupervised-learning.pdf)


## Hacks, tricks and tips
From @afshinea:
- [VIP Machine Learning Tips and Tricks (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Machine_Learning/Tricks/cheatsheet-machine-learning-tips-and-tricks.pdf)


## Choosing the right model

# Deep Learning
## Neural Nets


## R
- [Keras RStudio (PDF)](https://github.com/rstudio/cheatsheets/blob/master/keras.pdf)

## Python
- [Keras (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/keras.pdf)

From @afshinea:
- [Deep Learning Basics (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-deep-learning.pdf)

- [Convolutional Neural Networkds (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-convolutional-neural-networks.pdf)




- [Recurrent Neural Networks (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-recurrent-neural-networks.pdf)




- [Tips and Tricks (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Deep_Learning/cheatsheet-deep-learning-tips-tricks.pdf)


# SQL
- [SQL cheatsheet by sqltutorial (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/SQL/SQL-cheat-sheet.pdf)


- [SQL cheatsheet by Rebel Labs](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/SQL/zt_sql_cheat_sheet.pdf)


# Data Visualization
## Python
- [Matplotlib (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/matplotlib.pdf)

- [Seaborn (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/seaborn.pdf)

- [Bokeh (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Python/Datacamp/bokeh.pdf)

- Comprehensive Guide to Data Visualization in Python

## R
- [Ggplot2 (PDF)](https://github.com/rstudio/cheatsheets/blob/master/data-visualization-2.1.pdf)

- [Leaflet (PDF)](https://github.com/rstudio/cheatsheets/blob/master/leaflet.pdf)

- [Cartography (PDF)](https://github.com/rstudio/cheatsheets/blob/master/cartography.pdf)

- [Comprehensive Guide to Data Visualization in R](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/Data_Visualization/Comprehensive%20Guide%20to%20Data%20Visualization_R.pdf)

- [Simple Features sf (PDF)](https://github.com/rstudio/cheatsheets/blob/master/sf.pdf)

- [survminer (PDF)](https://github.com/rstudio/cheatsheets/blob/master/survminer.pdf)

# Data Science in General and Others
- [Shiny (PDF)](https://github.com/rstudio/cheatsheets/blob/master/shiny.pdf)

- [Vim (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/Text_Editors/Vim/vim_cheat_sheet_for_programmers_print.pdf)

- [Emacs (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/Text_Editors/Emacs/How-to-learn-Emacs-v2-large.pdf)

- [Git - Atlassian's Cheatsheet (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/Git/atlassian-git-cheatsheet.pdf)


- [DVC (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/DVC/DVC_cheatsheet.pdf)

- [BASH (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/BASH/bash_cheat_sheet.pdf)






By @ml874
- [Data Science Cheatsheet (PDF)](https://github.com/FavioVazquez/ds-cheatsheets/blob/master/General/data-science-cheatsheet.pdf)









# Contributors:
## [Favio Vázquez](https://github.com/FavioVazquez)