What are some books to read to become a data analyst?

Data Science, AI and ML
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Following are some books suggestions to read to get knowledge of the basics of data analysis:

Big Data: A Revolution That Will Transform How We Live, Work, and Think book by Kenneth Cukier and Viktor Mayer-Schönberger

Whether or not you work in the data analytics field, you’ve definitely heard “big data” before. This book, written by two industry experts, goes beyond the buzzword to show how big data is already affecting our world for the better and for the worst.

This isn’t a textbook that will teach you how to use big data algorithms.

It’s more of an introduction to big data, what it can do, and how it can affect the future.

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking book by Foster Provost and Tom Fawcett

This book delves into the value of statistics in making business decisions.

Consider this an introduction to basics of how data science and business operate together and what goes into data-driven decision-making if you’re interested in pursuing a career as a business analyst.

The writers did well by laying out data science approaches and ideas in terms of business without getting bogged down in algorithmic specifics.

Artificial Intelligence: A Guide for Thinking Humans book by Melanie Mitchell

Reading this book, you can begin to differentiate the hype around artificial intelligence (AI) from reality. Melanie Mitchell, a computer scientist, delves into the history of artificial intelligence and its people to help readers grasp complex topics like neural networks, natural language processing, and computer vision models.

While a detailed understanding of AI isn’t required of data analysts, it might be beneficial to understand these technologies and their effect on the world of data analytics. Mitchell takes a straightforward and engaging approach to these themes.