For my readers’ convenience, I have segregated the best cheat sheets (comprehensive yet concise) separately for each of the below topics. . .

1. Python (Basic python as well as ML libraries : Numpy /Pandas/Matplotlib/Seaborn)
2. R
3. SQL
4. Data Visualization Tools ( Tableau, Power BI)
5. Maths and Statistics
6. Machine Learning Algorithms (Supervised and Unsupervised)
7. Deep Learning (Neural Networks, Keras, Tensorflow, Pytorch)
8. IDE/OS (GitHub, Linux, SkLearn, Jupyter Notebook)

PYTHON

SQL

1. SQL_Detailed
2. LearnSQL
3. SQL_Tutorial
4. SQL_Joins
5. Intellipat
6. BuggyProgrammer

Data Visualization Tools

Tableau

1. Intellipat
2. Tableau_community
3. howto
4. Datacamp

Maths and Statistics

1. Probability
2. Statistics
3. Linear Algebra
4. Matrices
5. Calculus/Trignometry_etc
6. Stats_for_interviews

Machine Learning Algorithms

Machine Learning Algorithms

Stanford_ML

Machinelearningmastery

Sas_ml

R_bloggers

IDE and OS

Linux

1. Linux_OS
2. Cheatography
3. Guru99

Jupyter Notebook

1. Datacamp
2. Cheatography
3. Edureka
4. Anaconda

ScikitLearn

1. DataCamp
2. Edureka.co
3. Intellipaat
4. Cheatography

Pytorch

Final Thoughts

So that was my effort in segregating and collecting the best cheat sheets on various Data Science facets. I hope it helps. In case I missed any or you guys have any suggestion or query, please do add your comments below.

I will be more than happy to add them to the list above!

Happy Learning!!

Cheers 🙂