Data Analytics Books

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Blog Author :

WallStreetMojo Team

Edited by :

Ashish Kumar Srivastav

Reviewed by :

Dheeraj Vaidya, CFA, FRM

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Top 10 Data Analytics Books [2023]

Here is the list of the top 10 data analytics books to read in the year 2023:

  1. Data Analytics: Made Accessible
  2. Too Big to Ignore: The Business Case for Big Data
  3. Data Strategy: How to Profit from a World of Big Data Analytics and The Internet of Things
  4. The Accidental Analysts: Show Your Data Who’s the Boss
  5. Predictive Analytics: The Power to Predict Who Will Click, Buy Lie or Die
  6. Data Analytics: Become A Master In Data Analytics
  7. Story Telling with Data: A Data Visualization Guide for Business Professionals
  8. Now You See It: Simple Visualisation Techniques for Quantitative Analysis.
  9. Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking
  10. Lean Analytics: Use Data to Build a Better Startup

Let us discuss each data analytics book in detail and its key takeaways and reviews.

Data Analytics Books

#1 - Data Analytics: Made Accessible

by Anil Maheshwari

Book Review:

Anil Maheshwari, with more than 20 years of experience in data-driven industries, brings a great introductory cum comprehensive masterpiece for rookies and professionals in data analytics.

Key Takeaways

  • The book covers every necessary topic of data analytics.
  • It provides theoretical and practical guidance using examples and case studies.
  • It not only teaches but motivates you to pursue data analytics as a profession.

#2 - Too Big to Ignore

The Business Case for Big Data

by P. Simon

Book Review:

Award-winning author P. Simon introduces a great data analytical manuscript and says one can never ignore data. Companies like Google, Facebook, and Amazon started exploiting data resources decades ago. Governments also gather and analyze data to make citizen-friendly policies.

Key Takeaways

  • Explores analytical approaches used by companies and governments.
  • Companies must address Big Data to survive in the digital marketplace.
  • The book is free from jargon and suitable for even non-technologists.
  • The book is with real-world case studies and examples.

#3 - Data Strategy

How to Profit from a World of Big Data Analytics and The Internet of Things

by Bernard Marr

Book Review:

Bernard, the Big Data guru, says many business owners still feel discomfort applying analytical data concepts. Thus, he presents “Data Strategy,” which will change how people think about data analytics.

Key Takeaways

  • Develop your knowledge about business intelligence strategies.
  • Observe the role of BA in the present as well as future scenarios.
  • Get valuable information about the internet of things.

#4 - The Accidental Analysts

Show Your Data Who’s the Boss

by Eileen & Stephen McDaniel

Book Review:

The book is a comprehensive reference for beginners and working professionals. The book provides detailed model-building methodologies, examples, and case studies to feel the practical approach.

Key Takeaways

  • Learn step-by-step the data visualization techniques.
  • Get to know the techniques and strategies to extract and analyze data.
  • Enhance your analytical reach by learning visualization techniques.

#5 - Predictive Analytics:

The Power to Predict Who Will Click, Buy Lie or Die

by E. Siegel

Book Review:

Predictive analysis is the most important branch of data analytics. The book discusses predicting future trends and possible probabilities. In addition, the book, with examples, teaches you to predict future outcomes and explains the perfect way to apply data visualization tools.

Key Takeaways

  • The book is not about mathematical and scientific theories.
  • Predictive analysis is useful in advertising, politics, fraud detection, etc.
  • Learn stepwise from collecting data to make verifiable predictions.
  • Learn techniques of business analytics and its proper usage.

#6 - Data Analytics

Become A Master In Data Analytics

by Richard Dorsey

Book Review:

The book is an extraordinarily intelligent work by Richard Dorsey about data analytics. He says playing with data is challenging. First, you must identify the proper data analytical model, which may vary based on the situation.

Key Takeaways

  • Avoid risks and accept challenges while performing analytical data operations.
  • Learn analytics approaches like regression, time series, and decision trees.
  • Dorsey teaches analyzing data in the simplest manner possible.

#7 - Story Telling with Data

A Data Visualization Guide for Business Professionals

by Cole Nussbaumer

Book Review:

The book explains the perfect way to apply data visualization tools to be better understandable and informative and to create an eye-soothing story out of the boring raw data.

Key Takeaways

  • Determines the best graphs to apply according to the situation.
  • Direct your audience's attention to the important parts of your presentation in the model.
  • Apply various methods of data visualization and data designing.

#8 - Now You See It

Simple Visualisation Techniques for Quantitative Analysis

by Stephen Few

Book Review:

Stephen Few introduces a simple and productive way to explore and analyze quantitative data. The book teaches us to employ data analytics concepts with a practical approach. Stephen says while playing with data, you have to think with your eyes, producing various visualization techniques.

Key Takeaways

  • Enhance your analytical reach by applying visualization tools.
  • Learn core concepts of data visualization like correlation, multivariable analysis, etc
  • Develop practical skills to gain an advantage in a competitive market.

#9 - Data Science for Business

What You Need to Know About Data Mining and Data-Analytic Thinking

by Foster Provost & Tom Fawcett

Book Review:

The all-in-one data analytical manuscript discusses everything you need about data mining, business analytics, and data visualization. It helps you construct your foundation as a data analyst and advances your skills to skyscraper heights.

Key Takeaways

  • Learn fundamental and predictive modeling. Make better decisions.
  • The book's title can mislead anyone, but everyone can gain from the simplified teachings backed by many examples.
  • Develop analytical techniques for gaining a competitive advantage in your company.

# 10 - Lean Analytics

Use Data to Build a Better Startup

by Alistair Croll & Benjamin Yoskovitz

Book Review:

As the title suggests, the book helps you to build a better start-up with the help of data analytics. However, the book has a lot more to teach than just start-ups. Learn to use data to take a business idea from a mere product to a big brand.

Key Takeaways

  • Learn the six fundamental business models and related data analytics.
  • It covers more than 30 real-life case studies and various examples.
  • Includes interviews with successful startup entrepreneurs and investors.