Top Analytics books recommended by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Analytics books – and here are the answers.

Table of Contents

Fundamentals of Analytics

Understanding the concepts of Analytics starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

MONEY TOKS How to Start a Profitable TikTok Shop Business: Dominate Social Commerce, Drive Sales with Engaging Content, and Build a Thriving Brand on ... Platform (MONEY MAKING SERIES)

Discover the secrets to dominating social commerce, driving sales with engaging content, and building a brand that thrives on the world’s fastest-growing platform. In “How to Start a Profitable TikTok Shop Business,” you’ll unlock the strategies and insights needed to turn your passion into a profitable venture.

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Present Beyond Measure: Design, Visualize, and Deliver Data Stories That Inspire Action

Billions of dollars and thousands of hours are lost every year during ineffective business meetings worldwide. Data practitioners painstakingly present their valuable analytical insights, only to fall flat, inspiring more yawns than yeses.
In Present Beyond Measure: Design, Visualize, and Deliver Data Stories That Inspire Action, Lea Pica provides a 4-phase, step-by-step blueprint for plann…

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High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark

Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources.
Ideal f…

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Big Data: A Revolution That Will Transform How We Live, Work, and Think

It seems like “big data” is in the news every day, as we read the latest examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things. Whether it is used by the NSA to fight terrorism or by online retailers to predict customers’ buying patterns, big data is a revolution occurring around us, in the process of forever changing economics, science, …

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Storytelling with Data: A Data Visualization Guide for Business Professionals

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for…

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Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

This book will help you understand:

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Additional Analytics Reading

These books are not required for you to learn Analytics, but they are highly recommended for you to deepen your knowledge.

The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

AI is much more than a sexy marketing gimmick. At its core, it’s a powerful business tool that can make operations and decision-making more efficient, employees more productive, and customers delighted.
Unfortunately, leaders who want to take advantage of artificial intelligence often don’t know where to start. The process can feel overwhelming—from analyzing existing processes and software…

Recommended by the experts and mentors at MentorCruise

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also disc…

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This list is curated by MentorCruise and can include Amazon affiliate links. Have any other suggestions? Add here.

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Permanent resident of Canada 🇨🇦 from Japan 🇯🇵, currently spending most of my time in Malawi 🇲🇼 in Africa at the intersection of tech and society. I am a freelance software developer, previously working at a Big Tech & Silicon Valley-based start-up company while wearing different hats such as an …

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I've been working in San Francisco and Silicon Valley for the last 20 years. I was Head of Product at 3 startups, ranging from 3-guys-in-a-garage to a Series D startup. I have always done a mix of hands-on PM work and managing other product managers. Before that, I started my …

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I was one of the first 150 employees at DoorDash, working there for six years of hyper-growth. When I left DoorDash, the company had scaled to over 12,000 employees, operating on five continents. While at the company, I worked in both data science and operations roles. I helped build DoorDash's …

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As a mentor with a background in both research and industry, I have a wealth of experience of 10+ years to draw upon when guiding individuals through the field of machine learning. My focus is on helping experienced software engineers transition into ML/DS, as well as assisting machine learning engineers …

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Anirban is currently a Senior Data Scientist at Pinterest with more than 10 years of experience working in data science in notable tech companies like Pinterest, Dropbox, Google, eBay and American Express. In his role as a Data Scientist, Anirban has conducted more than 200 interviews across different levels testing …

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Having many varied roles on my own path to product management (engineering, sales, marketing, co-founder) I was lucky enough to have great mentors and coaches that guided me along my journey. From the initial CTOs/GMs at Intel that advised me to understand marketing and sales (beyond engineering), to really learning …

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