Book Recommendations
A curated collection of books for data science professionals at every career stage.
PLANNING A TRANSITION INTO DATA SCIENCE: READ THIS FIRST!
How to Become a Data Scientist
By Adam Ross Nelson
If you are serious about transitioning into data science, this book will bring you everything you need to know. Expert praise from: Stefanie Molin ~ Author of Hands-On Data Analysis with Pandas.
Buy The Book Today"Changing careers is challenging. From curating your resume, portfolio, and social media presence to interviewing and salary negotiation, coach Adam Ross Nelson guides you every step of the way to landing your first Data Scientist role. This book is filled with tips, resources, and advice that you will revisit throughout your new career."
LOOKING TO LEVEL UP IN DATA SCIENCE: READ THIS!
Confident Data Science: Discover the Essential Skills of Data Science
Learn the essential skills and build your confidence in this sector through key insights and practical tools for success. In this book, you will discover all of the skills you need to understand this discipline, from primers on the key analytic and visualization tools to tips for pitching to and working with clients.
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
By Cathy O'Neil
A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric.
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Algorithms of Oppression: How Search Engines Reinforce Racism
By Safiya Umoja Noble
In this book, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
By Alex J. Gutman + Jordan Goldmeier
This book teaches you how to think like a data scientist—even if you're not going to become one. It's designed to help managers, business professionals, product managers, and others understand data science better.
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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
By Nick Singh + Kevin Huo
A comprehensive guide that contains 201 real interview questions asked by FAANG, tech startups, and Wall Street. Prepare for your interviews with practice problems in statistics, SQL, ML, and more.
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Hands-On Data Analysis with Pandas: A Python data science handbook
By Stefanie Molin
A practical guide to data manipulation and analysis with pandas, this book provides hands-on tutorials with real-world datasets to help you master essential Python data science tools.
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