Suggest some books for becoming a data analyst

Data Science, AI and ML
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Data is all around us, and new information is increasing every day. Demand for competent data experts is also on the rise. It’s critical to immerse yourself in the language, ideas, and data trends when you’re just starting out on your path to being a data analyst. One approach to do this is to read books.

Following are some books suggestion to read:

Data Analytics Made Accessible book by Dr. Anil Maheshwari

The chapters in this book are organized similarly to those in an introductory college course, and it has been used as a material by several universities. It’s a great place to start if you’re new to data analytics or don’t know all about it. In addition to high-level overviews of crucial data concepts, the book offers the following:

  • Exercising data analysis in the real world
  • Exercising case studies that could lead to portfolio items
  • Questions that help you check your understanding
  • Data mining tutorials in R and Python for complete beginners

While the book was first published in 2014, it has subsequently been revised multiple times (most recently in 2021) to include data privacy, big data, artificial intelligence, and data science job advice.

Numsense! Data Science for the Layman: No Math Added book By Annalyn Ng and Kenneth Soo

This book provides a light introduction to data science, which is ideal for someone who does not have a technical background. So you don’t get mired down in complex math, the authors use straightforward language and graphic explanations to lead you through algorithms.

While this book is aimed tohelp beginners, it is also helpful for experienced data scientists. Use it as a refresher on communicating with your business partners about what you’re working on.

Python for Everybody: Exploring Data in Python 3 book by Dr. Charles Russell Severance

This book will have you building your first program in minutes if you’ve never written a line of code before. Dr. Charles Severance of the University of Michigan takes readers through how to use Python to “talk” to a database.

It’s a powerful resource, but it’s even more so when combined with Dr. Chuck’s popular Python for Everyone course (available on Coursera).