Must Read Essential Data Analyst Books (2021)

Introduction

The demand for Data Analysts is growing more these days, no other suitable time to learn data analytics and invade into the expanding field. If you aspire to make your career in data analytics, you certainly need an extensive amount of information to comprehend in this field. To help you with this, there are a bunch of data analyst books beginners must-have. These books will give you infinite knowledge and enhance your various aspects.

These are some useful data science and data analyst books for beginners:

1. Lean Analytics — by Croll & Yoskovitz

This book can give you an idea about the basics, how to identify a problem, how to find the right customers, having a goal to move ahead in the business and the system to know when to make changes according to the business requirement.

2. Naked Statistics — Charles Wheelan

The book focuses on the underlying foreknowledge that drives statistical analysis. The writer explains fundamental concepts such as inference, correlation, and regression analysis show how neglectful parties can manipulate data and depicts how creative researchers are exploiting the valuable data. This book consists of a lot of tales that you will be learning.

3. Python for Data Analysis — McKinney

Python is one of the most useful programming tools for data analysis, so it is vital to learn Python. This book will cover practical details of planning, processing, cleaning, and munching data. It is also a practical, new introduction to scientific computing in Python. This book is ideal for analysts new to Python.

4. R for Everyone: Advanced Analytics and Graphics

This book is written by Jared P. Lander. It covers all aspects of data science- data visualization, data manipulation, predictive modelling. You can easily understand as it covers a broad range of topics. Specifically, it highlights the usage criteria of algorithms and one example each showing its usage in R. You should buy this book if you are willing to understanding the practical side of algorithms and new to statistical programming and modelling.

5. Data Science at the Command Line — Janssens

This book explains the basics of coding and how the flexibility of the command line can help you become a more dynamic and fruitful data scientist. Learn how to link small, yet Strong, command-line tools to quickly get, scrub, investigate, and model your data.

Explore why the command line is a flexible, scalable, and extensible technology. R will help you extend your chances in the field of data science.

6. I heart logs — Jay Kreps

This book is very technical based. It gives you a deep understanding of the technical background of data collection and data processing. Learn how to use logs for programmatic access in databases, explore solutions of data integration problem, understand why Logs are at the heart of real-time stream processing.

Best Data Analytics Books

Big Data: A Revolution That Will Transform How We Live, Work, and Think, V. Mayer-Schönberger and K. Cukier

This book explains Why data analytics is necessary, and not just for business reasons. Data analytics can be used in many industries, the book offers information on how data can create an impact in a particular field. It will develop readers for the actuality and inspires them to adopt dynamic changes coming in the industry.

Business unIntelligence: Insight and Innovation Beyond Analytics and Big Data, B. Devlin

This book shows a different angle on data analytics. Readers will read about the progress and problems in the field and explore things that aren’t ever spoken within the industry. A sneak peeks into the past of business intelligence, big data and data analytics. You will discover many of the tried-and-true data methods have become outmoded while getting knowledge on how to stay updated and ambitious within the field.

Conclusion

These data analyst books will help to obtain insight into the developing field. Developing a firm understanding of data analytics and studying how to extract insights are vital elements for a prosperous, long-term career. Potential data professionals must stay up-to-date with the most relevant stuff in the industry. By reading these data analyst books, you will completely understand how valuable data analytics and visualization is to businesses today. 

If you are interested in making a career in the Data Science domain, our 11-month in-person Postgraduate Certificate Diploma in Data Science course can help you immensely in becoming a successful Data Science professional. 

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