Top Data Analysis 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 Data Analysis books – and here are the answers.

Table of Contents

Fundamentals of Data Analysis

Understanding the concepts of Data Analysis 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.

The Hundred-page Machine Learning Book

The Hundred-page Machine Learning Book

The Hundred-page Machine Learning Book

Recommended by the experts and mentors at MentorCruise

Business UnIntelligence: Insight and Innovation Beyond Analytics and Big Data

Business UnIntelligence: Insight and Innovation Beyond Analytics and Big Data

Business UnIntelligence: Insight and Innovation Beyond Analytics and Big Data

Recommended by the experts and mentors at MentorCruise

Weapons of Math Destruction

Weapons of Math Destruction

Weapons of Math Destruction

Recommended by the experts and mentors at MentorCruise

R for Data Science

R for Data Science

R for Data Science

Recommended by the experts and mentors at MentorCruise

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

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

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

Recommended by the experts and mentors at MentorCruise

Artificial Intelligence: A Guide for Thinking Humans

Artificial Intelligence: A Guide for Thinking Humans

Artificial Intelligence: A Guide for Thinking Humans

Recommended by the experts and mentors at MentorCruise

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I've helped 12 mentees received DA/DS offers, 4 received multiple offers, in 2024! πŸŽ‰ Hello! πŸ‘‹πŸ™‚ I'm a professional in Data Science, Machine Learning and Business Analytics for fortune 500 companies, including financial services and retail services. πŸ’»πŸ€– During my 10-year experience in the US corporate, I also involved with …

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I am a data scientist lead with 9 years experience in tech industry (Airbnb 4.5 years and counting, Facebook, Meta 3 years and startup 2 years). I have been designing and conducting interviews (200+) and career mentorship program at big tech companies.

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Hello there! I am a Data Scientist at Learning Collider, previously Tech Lead at the University of Chicago Urban Labs. I am passionate about leveraging technology to solve human problems, and have many years of experience in managing hiring processes for data teams. I believe strongly in interdisciplinary collaboration and …

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Supercharge your transition into data engineering with Gaurav, a passionate Senior Data Engineer at Amazon. With 10 years of experience, Gaurav excels in designing data platforms, implementing architectures like Data lake, Lakehouse, and Data mesh. Expertise in building cloud-based platforms, data pipelines, and ensuring governance and security. Benefit from Gaurav's …

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As a highly experienced software engineer, I have a proven track record of success in the internet industry. I am proficient in a range of technical skills, including machine learning, data mining, feature selection, big data, and programming languages such as C++, Java, and Python. I hold a Ph.D in …

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I am a Software Engineer with very deep knowledge of back-end systems, cloud infrastructure, databases, data engineering, and building data-driven products and services. I've been coding since my school days and have spent a good part of the last decade and a half writing code. I'm a self-taught programmer, and …

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