As a beginner in data science, you must be looking for video tutorials and books online that can help you learn more about data science. So if you want to get an idea of what types of books are best for learning data science as a beginner, then this article is for you. In this article, I’m going to introduce you to some of the best data science books for beginners that you can follow.
Data Science Books for Beginners
There are so many books available today for data science as so many publications and independent authors are contributing so much towards the data science community. Here I will take you through some of the best data science books that you can follow step by step to become an expert from a beginner. All the books mentioned below are not alternatives to each other they are arranged in a way that you can choose according to your level from beginner to expert in data science.
Python Data Science Handbook:
Python Data Science Handbook is one of those books that I followed as a beginner in data science. There are a lot of concepts I learned from this book like working with Python libraries like:
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
It includes all the most important functions provided by these Python libraries along with examples of how to use those functions. So if you have no idea how to work with data science libraries, this book will be a good start for you. You can find this book here.
Introduction to Machine Learning with Python:
If you know how to work with Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn but don’t have a lot of knowledge about machine learning and how to use machine learning algorithms on a dataset, then this book is for you. Although the “Python Data Science Handbook” also covers all the important topics of machine learning, but to learn those topics in detail, this book is best for you. So, if you know how to work with machine learning algorithms in detail, you should use this book for sure. You can find this book here.
Solving Data Science Case Studies with Python:
If you know how to work with data and use machine learning algorithms, but get stuck in solving a problem, you should focus more on improving your problem-solving skills. There are many ways to improve your problem-solving skills in data science, one of the best is to start solving case studies. This is where the “Solving Data Science Case Studies with Python” book can help. In this book, you will find 5 case studies based on business problems with their solutions. This will help you learn to understand a problem and start solving it. You can find this book here.
Summary
So these were some of the best data science books for beginners on the internet that can help you learn data science. All of the books mentioned above are not alternatives to each other, they are organized in such a way that you can follow them according to your level of being a beginner in Data Science. Below is how you can choose a data science book according to your level:
- If you don’t know anything about data science you should go for “Python Data Science Handbook“.
- If you want to learn machine learning in detail then you should go for “Introduction to Machine Learning with Python“.
- If you want to learn how to solve business problems with data science, then you should opt for “Solving Data Science Case Studies with Python“.
I hope you liked this article on the best data science books for beginners. Feel free to ask your valuable questions in the comments section below.
