{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"markdown","source":"# Awesome Cheatsheets for Data Science\n\n    This kernel has the curated list of Awesome Data Science Cheatsheets to rule the world.\n\n## Table of Contents\n\n- [Business Science](#business-science)\n- [Python](#python)\n- [R](#r)\n- [Math and Calculus](#math-and-calculus)\n- [Big Data](#big-data)\n- [Machine Learning](#machine-learning)\n- [Deep Learning](#deep-learning)\n- [SQL](#sql)\n- [Data Visualization](#data-visualization)\n- [Data Science in General and Others](#data-science-in-general-and-others)\n\n----------------------------------------\n\n\n# [Business Science](https://www.business-science.io/) \n\n## [Business Science Problem Framework (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Business_Science/Business_Science_Problem_Framework.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Business_Science/img/Business_Science_Problem_Framework.png)\n\n## [Data Science with Python Workflow (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Business_Science/Data_Science_With_Python_Workflow.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Business_Science/img/Data_Science_With_Python_Workflow.png)\n\n## [Data Science with R Workflow (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Business_Science/Data_Science_With_R_Workflow.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Business_Science/img/Data_Science_With_R_Workflow.png)\n\n# Python\n\n## Datacamp\n\n- [Python Basics (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/python_basics.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/python_basics-1.png)\n\n- [Pandas Basics (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/pandas_basics.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/pandas_basics-1.png)\n\n- [Pandas (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/pandas.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/pandas-1.png)\n\n- [Importing Data (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/import_data.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/import_data-1.png)\n\n- [Jupyter (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/jupyter.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/jupyter-1.png)\n\n- [Numpy Basics (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/numpy_basics.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/numpy_basics-1.png)\n\n## [Python Crash Course](https://github.com/ehmatthes/pcc)\n\n- [Begginers Python Cheat Sheet (Long PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Python_Crash_Course/Begginers-Python-Cheat-Sheet.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Python_Crash_Course/Begginers-Python-Cheat-Sheet.png)\n\n## Dataquest\n\n- [Intermediate Python (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Dataquest/Intermediate-Python-Cheat-Sheet.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Dataquest/img/Intermediate-Python-Cheat-Sheet-1.png)\n\n## Others\n\n- [Python 3 Memento (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Others/mementopython3-english.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Others/img/mementopython3-english/mementopython3-english-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Others/img/mementopython3-english/mementopython3-english-2.png)\n\n\n# R\n\n## Datacamp\n\n- [Tidiverse (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/Datacamp/tidiverse_beginners.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/Datacamp/img/tidiverse_beginners-1.png)\n\n- [data.table (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/Datacamp/data_table.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/Datacamp/img/data_table-1.png)\n\n-[xts (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/Datacamp/xts.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/Datacamp/img/xts-1.png)\n\n## RStudio\n\n- [R Studio IDE (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/rstudio-ide.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/rstudio-ide.png)\n\n- [Base R (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/base-r.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/base-r.png)\n\n- [Data Import with readr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/data-import.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/data-import.png)\n\n- [Data Transformation with Dplyr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/data-transformation.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/data-transformation.png)\n\n- [Apply Functions with purrr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/purrr.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/purrr.png)\n\n- [Data transformation with data.table (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/datatable.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/datatable.png)\n\n- [Dates and Times with lubridate (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/lubridate.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/lubridate.png)\n\n- [Randomizr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/randomizr.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/randomizr.png)\n\n- [Regular Expressions (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/regex.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/regular-expressions.png)\n\n- [Work with Strings with stringr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/strings.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/strings.png)\n\n- [Tidy Evaluation with rlang (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/tidyeval.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/tidyeval.png)\n\n- [Xplain (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/xplain.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/xplain.png)\n\n- [Sintax Comparison (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/syntax.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/syntax.png)\n\n- [Data and Variable Transformation with sjmisc (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/sjmisc.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/sjmisc.png)\n\n- [R Markdown (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/rmarkdown-2.0.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/rmarkdown-2.0.png)\n\n- [Package Development with devtools (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/package-development.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/package-development.png)\n\n\n# Math and Calculus\n\nFrom @afshinea:\n\n- [Refresher Algebra and Calculus (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Math_Calculus/refresher-algebra-calculus.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Math_Calculus/img/refresher-algebra-calculus/refresher-algebra-calculus-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Math_Calculus/img/refresher-algebra-calculus/refresher-algebra-calculus-2.png)\n\n- [Refresher Probabilities and Statistics (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Math_Calculus/refresher-probabilities-statistics.pdf)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Math_Calculus/img/refresher-probabilities-statistics/refresher-probabilities-statistics-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Math_Calculus/img/refresher-probabilities-statistics/refresher-probabilities-statistics-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Math_Calculus/img/refresher-probabilities-statistics/refresher-probabilities-statistics-3.png)\n\n# Big Data\n\n## Python\n\n- [Pyspark RDD (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Big_Data/pyspark_rdd.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Big_Data/img/pyspark_rdd/pyspark_rdd-1.png)\n\n- [Pyspark DF (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Big_Data/pyspark_df.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Big_Data/img/pyspark_df/pyspark_df-1.png)\n\n- [Dask (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Big_Data/daskcheatsheet.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Big_Data/img/daskcheatsheet/daskcheatsheet-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Big_Data/img/daskcheatsheet/daskcheatsheet-2.png)\n\n## R\n\n- [Sparklyr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/sparklyr.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/sparklyr.png)\n\n# Machine Learning\n\n## Python\n\n- [Scitk-Learn (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/scikit-learn.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/scikit-learn-1.png)\n\n## R\n\n- [Machine Learning Modelling in R (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/Machine%20Learning%20Modelling%20in%20R.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/Machine%20Learning%20Modelling%20in%20R.png)\n\n- [Caret (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/caret.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/caret.png)\n\n- [Estimatr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/estimatr.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/estimatr.png)\n\n_ [H2O (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/h2o.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/h2o.png)\n\n- [mlr (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/mlr.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/mlr.png)\n\n\n## Supervised Learning\n\nFrom @afshinea: \n\n- [VIP Supervised Learning (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Supervised%20Learning/cheatsheet-supervised-learning.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Supervised%20Learning/img/cheatsheet-supervised-learning/cheatsheet-supervised-learning-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Supervised%20Learning/img/cheatsheet-supervised-learning/cheatsheet-supervised-learning-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Supervised%20Learning/img/cheatsheet-supervised-learning/cheatsheet-supervised-learning-3.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Supervised%20Learning/img/cheatsheet-supervised-learning/cheatsheet-supervised-learning-4.png)\n\n## Unsupervised Learning\n\nFrom @afshinea:\n\n- [VIP Unsupervised Learning (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Unsupervised%20Learning/cheatsheet-unsupervised-learning.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Unsupervised%20Learning/img/cheatsheet-unsupervised-learning/cheatsheet-unsupervised-learning-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Unsupervised%20Learning/img/cheatsheet-unsupervised-learning/cheatsheet-unsupervised-learning-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Unsupervised%20Learning/img/cheatsheet-unsupervised-learning/cheatsheet-unsupervised-learning-3.png)\n\n## Hacks, tricks and tips\n\nFrom @afshinea:\n\n- [VIP Machine Learning Tips and Tricks (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Tricks/cheatsheet-machine-learning-tips-and-tricks.pdf)\n\n![cheatsheet-machine-learning-tips-and-tricks-1](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Tricks/img/cheatsheet-machine-learning-tips-and-tricks/cheatsheet-machine-learning-tips-and-tricks-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Tricks/img/cheatsheet-machine-learning-tips-and-tricks/cheatsheet-machine-learning-tips-and-tricks-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Tricks/img/cheatsheet-machine-learning-tips-and-tricks/cheatsheet-machine-learning-tips-and-tricks-3.png)\n\n## Chossing the right model\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Choosing_Model/img/microsoft-machine-learning-algorithm-cheat-sheet-v7-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Machine_Learning/Choosing_Model/img/ml_map_scikit_learn.png)\n\n\n# Deep Learning\n\n## Neural Nets\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/Neural%20Network%20Cells.png)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/Neural%20Network%20Graphs.png)\n\n## R\n\n- [Keras RStudio (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/keras.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/keras.png)\n\n\n## Python\n\n- [Keras (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/keras.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/keras-1.png)\n\nFrom @afshinea: \n\n- [Deep Learning Basics (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/cheatsheet-deep-learning.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-deep-learning/cheatsheet-deep-learning-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-deep-learning/cheatsheet-deep-learning-2.png)\n\n- [Convolutional Neural Networkds (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/cheatsheet-convolutional-neural-networks.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-convolutional-neural-networks/cheatsheet-convolutional-neural-networks-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-convolutional-neural-networks/cheatsheet-convolutional-neural-networks-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-convolutional-neural-networks/cheatsheet-convolutional-neural-networks-3.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-convolutional-neural-networks/cheatsheet-convolutional-neural-networks-4.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-convolutional-neural-networks/cheatsheet-convolutional-neural-networks-5.png)\n\n- [Recurrent Neural Networks (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/cheatsheet-recurrent-neural-networks.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-recurrent-neural-networks/cheatsheet-recurrent-neural-networks-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-recurrent-neural-networks/cheatsheet-recurrent-neural-networks-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-recurrent-neural-networks/cheatsheet-recurrent-neural-networks-3.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-recurrent-neural-networks/cheatsheet-recurrent-neural-networks-4.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-recurrent-neural-networks/cheatsheet-recurrent-neural-networks-5.png)\n\n- [Tips and Tricks (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/cheatsheet-deep-learning-tips-tricks.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-deep-learning-tips-tricks/cheatsheet-deep-learning-tips-tricks-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-deep-learning-tips-tricks/cheatsheet-deep-learning-tips-tricks-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Deep_Learning/img/cheatsheet-deep-learning-tips-tricks/cheatsheet-deep-learning-tips-tricks-3.png)\n\n# SQL\n\n- [SQL cheatsheet by sqltutorial (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/SQL/SQL-cheat-sheet.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/SQL/img/SQL-cheat-sheet/SQL-cheat-sheet-1.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/SQL/img/SQL-cheat-sheet/SQL-cheat-sheet-2.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/SQL/img/SQL-cheat-sheet/SQL-cheat-sheet-3.png)\n\n- [SQL cheatsheet by Rebel Labs](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/SQL/zt_sql_cheat_sheet.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/SQL/img/zt_sql_cheat_sheet/zt_sql_cheat_sheet-1.png)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/SQL/img/sql_reddit.jpg)\n\n# Data Visualization\n\n## Python\n\n- [Matplotlib (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/matplotlib.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/matplotlib-1.png)\n\n- [Seaborn (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/seaborn.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/seaborn-1.png)\n\n- [Bokeh (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/bokeh.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Python/Datacamp/img/bokeh-1.png)\n\n- Comprehensive Guide to Data Visualization in Python\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Data_Visualization/img/data-visualisation-infographics-python.jpg)\n\n## R\n\n- [Ggplot2 (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/data-visualization-2.1.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/data-visualization-2.1.png)\n\n- [Leaflet (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/leaflet.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/leaflet.png)\n\n- [Cartography (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/cartography.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/cartography.png)\n\n- [Comprehensive Guide to Data Visualization in R](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Data_Visualization/Comprehensive%20Guide%20to%20Data%20Visualization_R.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/Data_Visualization/img/Comprehensive%20Guide%20to%20Data%20Visualization_R-1.png)\n\n- [Simple Features sf (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/sf.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/sf.png)\n\n- [survminer (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/survminer.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/survminer.png)\n\n# Data Science in General and Others\n\n- [Shiny (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/shiny.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/R/RStudio/img/shiny.png)\n\nBy @ml874\n\n- [Data Science Cheatsheet (PDF)](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/data-science-cheatsheet.pdf)\n\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-01.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-02.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-03.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-04.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-05.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-06.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-07.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-08.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-09.png)\n![](https://github.com/ArunkumarRamanan/ds-cheatsheets/raw/master/General/img/data-science-cheatsheet/data-science-cheatsheet-10.png)"},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":false},"cell_type":"markdown","source":"## Credits\n\n* [GitHub Data Science Topic](https://github.com/topics/data-science)\n\n## License\n\n[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)\n\n### Please ***UPVOTE*** my kernel if you like it or wanna fork it.\n\n##### Feedback: If you have any ideas or you want any other content to be added to this curated list, feel free to comment.\n#### I am open to have your *feedback* for improving this ***kernel***\n\n### Thanks for visiting my *Kernel* and please *UPVOTE* to stay connected and follow up the *further updates!*"}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}