70 Data Science Cheat Sheets for Everyone in 2025

data science cheat sheets

In data science, there are various tools and techniques which you need to remember. But it’s quite challenging and not possible for everyone to recall all the functions, operations, and formulas of each concept. That’s why cheat sheets help us to remind these concepts. So, I decided to share some best Data Science Cheat Sheets with you.

I would recommend you bookmark this article for future reference. Now without any further ado, let’s get started-

Data Science Cheat Sheets

For your convenience, I have divided these cheat sheets in a different categories based on the following topics-

So let’s start with the Python cheat sheets-

Read Also- 14 Best+Free Data Science with Python Courses Online- [Bestseller 2025]

Python for Data Science Cheat Sheets

Python is one of the most widely used programming languages in the data science field. Python has many packages and libraries that are specifically tailored for certain functions, including pandas, NumPy, scikit-learn, Matplotlib, and SciPy. The most appealing quality of Python is that anyone who wants to learn it, even beginners, can do so quickly and easily.

Python Cheatsheets

  1. Python For Data Science Cheat Sheet For Beginners
  2. Python – Importing Data
  3. Python 3 Cheat Sheet
  4. Python Language & Syntax Cheat Sheet
  5. Python – Data Cleansing
  6. NumPy Basics
  7. Pandas Cheat Sheet
  8. Advanced Pandas Cheat Sheet
  9. SciPy
  10. Scikit-Learn
  11. Matplotlib
  12. Bokeh

R for Data Science Cheat Sheet

In Data Science, you have to perform statistical analysis, and for that R is much better than Python. R has approximately 12000 packages, R has a huge variety of libraries to perform statistical analysis. Some most powerful visualization packages in R are ggplot2, ggvis, googleVis, and rCharts.

R Programming Cheatsheets-

  1. R Reference Card
  2. R cheat sheet- Google Drive
  3. Useful R commands
  4. R Markdown Cheat Sheet
  5. R functions for Regression Analysis
  6. R functions for Time-series Analysis
  7. Tidy Evaluation with rlang Cheatsheet
  8. RStudio IDE Cheatsheet
  9. Advanced R
  10. Caret
  11. Advanced and fast data transformation with R
  12. eurostat
  13. Machine Learning Modelling in R
  14. Data Visualisation with ggplot2 cheatsheet by R studio

Statistics & Probability Cheatsheets

A solid understanding of Statistics and probability is essential in Data Science. Data science is all about extracting knowledge, making a prediction, algorithms, insights, etc. So for performing these operations, you must have knowledge of statistics. If you have knowledge of Statistics, you can predict future trends and you can find patterns behind the data.

Statistics & Probability Cheatsheets-

  1. Probability Cheatsheet
  2. Probability cheat sheet for distribution 
  3. Probabilities – Basics
  4. Statistics cheatsheet
  5. Statistics Cheatsheet (MIT)
  6. Stat 100 Final Cheat Sheets
  7. Statistics Cheat Sheet
  8. Frequently Used Statistics Formulas and Tables
  9. A Statistics Summary-sheet

Read Also- 10 Best Courses on Statistics for Data Science

Machine Learning Cheatsheets

In Data Science, by using machine learning you can perform fraud and risk detection, Spam filtering, Face and Voice Recognition, etc. So if you are focusing on machine learning, then these machine learning cheat sheets will be essential for you-

  1. Machine Learning Formulas
  2. Machine Learning Algorithm Cheat Sheet
  3. Machine-learning-cheat-sheet
  4. scikit-learn
  5. Deep Learning Cheatsheet
  6. Supervised Learning
  7. Unsupervised Learning
  8. Neural Network Architectures
  9. Machine Learning algorithms cheat sheet
  10. Machine Learning Glossary
  11. Machine Learning tips and tricks cheatsheet

Multivariate Calculus and Linear Algebra Cheatsheets

Linear algebra is used in data preprocessing, data transformation, dimensionality reduction, and model evaluation. And Multivariate Calculus helps us to explain the relationships between input and output variables. And Multivariate Calculus comes into the picture when you deal with a lot of features and huge data. 

Multivariate Calculus and Linear Algebra Cheatsheets-

  1. Calculus Cheat Sheet 
  2. Linear algebra explained in four pages
  3. Linear Algebra Cheat Sheet for Machine Learning
  4. Linear algebra cheat sheet for deep learning
  5. Calculus for Machine Learning

SQL Cheatsheets

SQL is one of the most popular languages in the Data Science Field. Over the Years, SQL is famous for managing data. As a Data Scientist or Data Analyst, you should be familiar with SQL concepts.

SQL Cheatsheets-

  1. SQL Cheat Sheet
  2. SQL Cheatsheet
  3. SQL for Azure Monitor
  4. MySQL
  5. PostgreSQL
  6. SQL Reference Guide for Data Analysis
  7. SQL — Practical Details Cheat Sheet
  8. SQL Cheatsheet

Read Also- 12 Best SQL Online Course Certificate Programs for Data Science in 2025

Big Data Cheat Sheet

Data is increasing very fast. According to one report, By 2025, it’s estimated that 463 exabytes of data will be created each day globally – that’s the equivalent of 212,765,957 DVDs per day! That’s why familiarity with Big Data tools is needed. These cheatsheets for Big Data tools will be your quick reminder-

  1. Hadoop Cheatsheet 
  2. Working with HDFS from the command line – Hadoop Cheatsheet
  3. Big Data Hadoop Cheat Sheet
  4. Hadoop HDFS Command Cheatsheet
  5. Hadoop Deployment Cheat Sheet
  6. Scala cheatsheets 1
  7. Scala cheatsheets 2
  8. Spark cheatsheet
  9. Scala on Spark Cheatsheet
  10. SQL to Hive Cheat Sheet
  11. Hive Functions Cheat-sheet

Conclusion

So these are 70 Data Science Cheat Sheets. I will keep adding more data science cheat sheets to this list. But I hope you will find these data science cheat sheets helpful for your data science journey. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

It’s what you learn after you know it all that counts.’

John Wooden

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Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.

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