Are you looking to explore into the world of data science? Whether you’re a beginner or an experienced professional, there are countless resources or books available to help you advance your skills.
In this article, we’ve compiled a list of the top 12 data science books that you can download for free. These books cover a range of topics from the fundamentals of data science to advanced machine learning techniques.
| S. No. | Book Name | Pages |
|---|---|---|
| 1 | Practical Data Science | 821 Pages |
| 2 | Beginning Data Science in R | 369 Pages |
| 3 | Introduction to Deep Learning Using R | 240 Pages |
| 4 | Machine Learning with TensorFlow | 244 Pages |
| 5 | Practical Python AI Projects | 287 Pages |
| 6 | Data Science For Dummies – 2nd Edition | 329 Pages |
| 7 | Data Science Fundamentals for Python and MongoDB | 221 Pages |
| 8 | An Introduction to Data Science | 196 Pages |
| 9 | Hands-on Genetic Algorithms with Python | 334 Pages |
| 10 | Internet of Things with ESP8266 | 226 Pages |
| 11 | Learning IoT with Particle Photon and Electron | 132 Pages |
| 12 | Mastering Machine Learning with Python in Six Steps | 374 Pages |
Download All 12 Books for Free
Ready to start your data science journey? Download all 12 of these top data science books through the link below:
Here are some useful Github repositories for Data Science:
- https://github.com/MrMimic/data-scientist-roadmap
- https://github.com/nborwankar/LearnDataScience
- https://github.com/vinta/awesome-python
- https://github.com/r0f1/datascience
- https://github.com/donnemartin/data-science-ipython-notebooks
- https://github.com/ossu/data-science
- https://github.com/academic/awesome-datascience
- https://github.com/datasciencemasters/go
- https://github.com/Mohitkr95/Best-Data-Science-Resources
- https://github.com/FavioVazquez/ds-cheatsheets
- https://github.com/jayinai/data-science-question-answer
- https://github.com/alexeygrigorev/data-science-interviews
- https://github.com/rushter/data-science-blogs
- https://github.com/adilkhash/Data-Engineering-HowTo
- https://github.com/fchollet/keras-resources
- https://github.com/guipsamora/pandas_exercises
- https://github.com/igorbarinov/awesome-data-engineering
- https://github.com/chaconnewu/free-data-science-books
These resources provide a wealth of knowledge and practical insights that will help you enhance your data science skills. Whether you’re interested in machine learning, deep learning, or IoT, this collection has something for everyone.
Happy reading!
You may also like:- Top 10 Highly Recommended Books for Bug Hunting
- Top 14 Best Kali Linux PDF Books – Free Download
- The Ultimate List: 100+ Cybersecurity Books To Read Before You Die (Free PDF Download)
- 17 Best Cryptography Books – Free Download (PDF)
- Top 25 Neural Networks Books to Read in 2024 – Free Download
- Best CISSP Books To Read To Crack The Exam – Free Download (PDF)
- Top 30 Artificial Intelligence (AI) Books – Free Download
- 8 Must-Read Machine Learning Books
- 6 Free eBooks to Learn Web Development
- Top 7 Must-Read Cybersecurity Books to read in 2024
This Post Has One Comment