25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

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By neub9
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25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing
25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

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Mastering essential skills in SQL, Python, data science, machine learning, and natural language processing can lead to exciting career opportunities. However, finding affordable resources can be a challenge for many. The good news is that there are high-quality free books available online that can help you build a strong foundation in these areas and provide practical examples and code snippets.

Here’s a collection of 25 free books on SQL, Python, data science, machine learning, and NLP that you can access online. These resources have been carefully selected from KDnuggets and are of the highest quality. I recommend bookmarking this page for future reference.

  • SQL Learning by Stack Overflow: Master important SQL syntax and functions for data handling.
  • Introduction to SQL by Bobby Iliev: Learn to use relational databases for your SysOps, DevOps, and Dev projects.
  • Essential SQL by Stack Overflow: Gain clear and concise explanations of SQL topics for programmers at all levels.

For more resources, check out our article on 5 Free Books to Master SQL.

  • Think Stats by Allen B. Downey: Great for students looking to learn Probability and Statistics with Python code examples.
  • Data Science for Business by Tom Fawcett: Ideal for business professionals, developers, and aspiring data scientists who want to work with or invest in data science solutions.

Read our article on 5 Free Books to Master Data Science for more recommendations.

Explore 5 Free Books to Master Machine Learning and 5 Free Books on Natural Language Processing to discover additional resources.

This curated collection of 25 free books offers valuable knowledge on SQL, Python, data science, machine learning, and natural language processing. By applying the practical examples and code snippets provided, you can gain hands-on experience and enhance your skills. Whether you’re a beginner or seeking to advance your expertise, these resources are valuable assets on your learning journey.

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional with a passion for building machine learning models. Currently, he is focused on creating content and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a bachelor’s degree in Telecommunication Engineering. His vision is to develop an AI product using a graph neural network to support students struggling with mental illness.

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