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“Total number of data analytics jobs posted every month has increased by 75%.” “Almost all the organizations will turn to data analytics by 2022.” These are not mere statements but true trends and insights related to data analytics. Do you realize the importance of data analytics? Picture this: According to the World Economic Forum, India is the top data analytics job provider after the USA.

To stay ahead of others in the field and have smooth business operations , you need to continuously upskill and upgrade. What’s the best way to do this? Yes, read. Same applies to data analytics. Reading books will not only tell you how to perform in the field but also its nuances that will aid you in carrying out your daily roles. If you are reading this article, it is for sure that you wish to have a list of good reads on data analytics.

Reading Between the Lines: Getting the Essence of Top 10 Data Analytics Books

Before you pick up your next data analytics book, keep in mind that your aim should not be to skim through the pages but to read between the lines. Going about this way would mean that you get the real meaning of what’s there in the book and how it will be applicable to your role of data analytics. 

Let’s get started…..

Here are the top 10 data analytics books that you should own now. This list doesn’t follow any specific order.

#1. Data Analytics Made Accessible

Data Analytics Made Accessible

Author: Dr. Anil Maheshwari

Looking for a book that won’t sound much of a jargon? Data Analytics Made Accessible should be your pick as it is one of the most to-the-point and comprehensible data analytics books. Whether you wish to complete it in a single sitting or go for periodical reads, this book will never lose its charm. Why? This is a wonderfully illustrated book that has practical examples to boost your understanding of the analytics business.

Why this book? It covers data analytics from scratch and makes it easy for the freshers, exactly what its name tells. With a comprehensive and well-thought out structure, this conversational book includes case studies in every chapter to facilitate understanding. You can keep it as a reference book, coming back to it for basics, techniques, trends and insights.

#2. The Elements of Data Analytic Style

The Elements of Data Analytic Style

Author: Jeff Leek

It is not a news by now that data analysis is both an art and science. The Elements of Data Analytic Style covers the nuances of the field that are not to be found elsewhere; these concepts went unnoticed in a statistics class or a textbook. Jeff Leek’s tutorials, blogs and lectures form the core content of this book. To the author’s credit is being one of the co-creators of the John Hopkins Specialization in Data Science program, the largest program that saw enrollment of around 2 million people. 

Why this book? Opting for a course in data analytics? Pick it up as your aide. It will not only serve as your practical skill guide but also as a reference tool that assist you in carrying out the data analytics processes. This book is highly recommended for freshers; experienced one can also duly opt for it

#3. Agile Data Science: Building Data Analytics Applications with Hadoop

Agile Data Science: Building Data Analytics Applications with Hadoop

Author: Russell Jurney

When you are working on huge data sets, there are chances that you may be doubtful if you are on the right track. Agile Data Science: Building Data Analytics Applications with Hadoop is a practical book that shows the correct path to you. With this book, you can visualize and develop your data set and analytics applications and predict the future with the help of the historical data.

Why this book? It will make you acquainted with the methodologies and toolsets required to develop efficient analytics applications with the help of Hadoop. You can build an agile environment for data exploration with the help of not so heavy tools, such as Python, D3.JS library etc. Agile Data Science: Building Data Analytics Applications with Hadoop will make you adept in building and applying agile methodologies. 

#4. Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

Author: Dean Abbott

Revolving around predictive analytics, Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst explores algorithms, best practices and rules of the field. This book is authored by one of the most coveted names of the field. It covers detailed explanation of predictive analytics; theory, methodology; principles, tips and tricks and more are included to help you with your predictive analytics projects. 

Why this book? It is enriched with ample of case studies and hands-on examples for all the techniques detailed in the book. You won’t just find the theory of data analytics but also how to apply it and make predictions in your projects. This book guides you from start to finish of your data analytics project.

#5. Data-Driven HR: How to Use Analytics and Metrics to Drive Performance

Data-Driven HR: How to Use Analytics and Metrics to Drive Performance

Author: Bernard Marr

Data-Driven HR: How to Use Analytics and Metrics to Drive Performance is a creation of one of the most coveted authors of the field, Bernard Marr. Did you think that data science is only for the IT professionals? This book will change your thinking and make you believe that even the Human Resources professional can benefit from it and increase their productivity. 

Why this book? Are you an HR professional wanting to utilize data to increase efficiency in staff management, training and development etc.? This is probably one of the best books for HR professionals, abundant with practical case studies that help you perfect your processes and thus benefit the organization with the help of analytics generated.

#6. Lean Analytics: Use Data to Build a Better Startup Faster

Lean Analytics: Use Data to Build a Better Startup Faster

Authors: Alistair Croll and Benjamin Yoskovitz

Written with an intent to help companies and entrepreneurs know their customers even better with the help of data analytics, Lean Analytics: Use Data to Build a Better Startup Faster stresses on the Lean Analytics philosophy for organizations of all sizes. The book’s philosophy is centered on receiving customer feedback without any delay and acting on it.

Why this book? This book makes you informed professionals, guiding you towards targeted and useful product building. It also tells you that data analytics has the power to help you decide the right product or service to build and the correct way to promote them. Pick up this book so as to ensure that you aren’t wasting any of your resources and won’t do so in the future too.

#7. Data Analytics: The Ultimate Beginner’s Guide to Data Analytics

Data Analytics: The Ultimate Beginner’s Guide to Data Analytics

Author: Edward Mize

Imagine what all can be done with data analytics in your business and organization? With data analytics you can not only increase efficiency and speed up your work but also provide a quick solution to any problem. Data Analytics: The Ultimate Beginner’s Guide to Data Analytics is an ideal resource book for beginners in data analytics.

Why this book? Edward Mize is credited with presenting lucid explanations to even the toughest topic. So, expect to easily understand and henceforth implement anything that you learnt. You will find everything in this book, related to the basics of data analytics, be it theory or practical applications in the real world. Whether you wish to leverage data analytics for your business or simply wish to study it from scratch, grab this book now.

#8. Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Authors: Sandy Ryza, Uri Laserson, Sean Owen and Josh Wills

Revolving around the data analysis using Spark, Advanced Analytics with Spark: Patterns for Learning from Data at Scale gradually builds up the momentum; it starts from the basics of Spark and slowly moves on to patterns that implement common techniques in fields like finance, genomics etc. If you have a basic understanding of statistics, programming (Python or Java) and machine learning, you can easily apply these patterns in your data applications.

Why this book? The book is authored by the best in the field- four scientists from Cloudera who are working with Spark. Advanced Analytics with Spark: Patterns for Learning from Data at Scale offers an amalgamation of Spark, datasets from real world statistical methods to tackle analytics problems.

#9. Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business

Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business

Author: Isaac D. Cody

An ideal data analytics for your organization would be the one that effectively points out the problem areas and the solutions to become successful. With this aim, Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business focuses on the business owners or anyone wanting exhaustive knowledge of data analytics. 

Why this book? Want to increase revenue and improve sales for your business? This book will guide you on how to do it the best way. It has a precise description of the type of data analytics best suited for business owners, the right way to evaluate your business and the correct way for calculating statistical data.

#10. Data Analytics: Become A Master in Data Analytics

Data Analytics: Become A Master in Data Analytics

Author: Richard Dorsey

Data analytics is not easy as you need to know the right type to use and the way to overcome the challenges you will face. Data Analytics: Become A Master in Data Analytics puts forth the simplest of ways, tips, tricks and techniques to make the analytics process easier for you. This book teaches you the basics of data analytics, the types and risks involved and the benefits. 

Why this book? The book is creatively illustrated with real-life examples that depict how to gather this knowledge and apply it in your actual projects. Irrespective of the field, data analytics finds its application everywhere. With this book, you will master data analytics and ace its practical aspect too.

Whether you are an experienced professional or a fresher in the data analytics field, books will definitely prove to be a source of knowledge and respite to you. Think of them to be your mentor; the one you can always look up to for any advice whenever you are stuck.

Source:

https://www.thehindubusinessline.com/news/huge-demand-for-analytics-skills-us-consul-general/article28118352.ece

Author

Senior Content Writer @INSAID. Data Science and AI enthusiast who loves to read, write and converse.

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