5 Best Books For Data Scientists

So, if you have decided to pursue data science as a career, you must be wondering where to start! Here comes the guide, the 5 best books for data scientists.

In the previous articles, you got to know about 5 skills for data scientists, Interview tips for a data science interview, useful data science projects, and many more topics that will clear all your doubts about the data science domain.

Data Science is one of the most exponentially growing fields of study in the 21st century. The demand for the data professionals is increasing with every passing day and the supply for the same is lower than its demand. Due to high demand, the salaries for the data professionals are higher than other professionals.

Let’s talk about the 5 best books for data scientists.

5 Best Books For Data Scientists

1. The Manga Guide to Statistics by Shin Takahashi

2. Data Science From Scratch by Joel Grus

3. Naked Statistics by Charles Wheelan

4. Machine Learning Using Python by Manaranjan Pradhan

5. Storytelling with data by Cole Nussbaumer Knaflic

Below, we will explain the short description of all the books and the links to purchase each one of them online.

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1. The Manga Guide to Statistics: This comic book by one of the biggest comic graphic novels writer, Shin Takahashi, originated in Japan, under the name Manga, is one of the best guide to learn statistics in the form of story.

It covers almost all the concepts of statistics that is enough for the people willing to learn statistics for data science. Having released books about physics, economy, and many more, Manga has done a great job in writing stories with a different perspective.

Want o learn statistics for data science? Purchase this book by clicking here…

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2. Data Science From Scratch: If you really want to learn data science, you must not only master the tools used in data analytics & data visualization but also understand the basics and principles beneath them. This book by Joel Grus is updated for Python 3.6 and shows you how tools and algorithms work by implementing them from the scratch.

If you are good in mathematics and have some programming skills, this book will help you get comfortable with the statistics at the core of data science. This book also covers the deep learning topics, statistics, and natural language processing.

If you are willing to take a deep dive into data science, you can purchase this book from here…

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3. Naked Statistics: This amazing book by Charles Wheelan covers most of the real life stats, graphs, and charts like Netflix data, political polls, games scores & results and much more like that.

Including all the technical aspects of statistical analysis, this book also teaches you about the major tools used in statistics solving real time problem occurring in the statistics.

To have fun and learn statistics at the same time, purchase this book from here…

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4. Machine Learning Using Python: Written by the faculties of IIM Bangalore, Manaranjan Pradhan, this book can strengthen your foundation of Python libraries used for Machine Learning.

Covering a lot of real life case studies, this book includes foundations of Machine Learning, Python Programming, Descriptive Analysis, and Predictive Analysis.

To take a theoretical understanding of Machine Learning concepts using practical ideas, you can purchase this book by clicking here…

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5. Storytelling With Data: Data visualization is one of the most important aspect for the organizations doing data analysis. Without understanding the meaning of data, the importance of the analysis gets negligible.

This amazing book for data visualization will take you through a storytelling guide using graphs & charts.

To purchase this book, you can click here…

5 best books for data scientists

To start your career as a data professional, explore these amazing certification programs by Console Flare:

1. Python For Data Analytics Certification Program

2. Masters in Data Science With Power BI Certification Program

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