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Books To Learn

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Data Science 

"The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists"  By Carl Shan, William Chen, Henry Wang, and Max Song

Overview This book offers a unique look into the data science industry by interviewing 25 top experts. It provides practical advice, learning mistakes, career development tips, and strategies to succeed in data science. What you will learn: – Insights and advice straight from leading data science experts – Practical tips for navigating the data science industry – Strategies for career development and growth in the field – Common learning mistakes to avoid – Unique perspectives on the current state and future of data science

"Doing Data Science: Straight Talk from the Frontline"  By Cathy O'Neil and Rachel Schutt

Overview Based on Columbia University's Introduction to Data Science class, this book is a practical, technical resource for beginners. It covers algorithms, methods, models, data visualization, relevant case studies, and code. What you will learn: – Fundamental algorithms, methods, and models used in data science – Techniques for data visualization and communication – Practical examples and case studies illustrating key concepts – Insights from the instructors of a top data science course – A solid foundation in the technical aspects of data science

"Numsense! Data Science for the Layman: No Math Added"  By Annalyn Ng and Kenneth Soo

Overview This book aims to make data science accessible to beginners by explaining key concepts without relying on complex math. It covers topics like machine learning, data mining, and data visualization in a beginner-friendly way. What you will learn: – Key data science concepts and techniques – Machine learning algorithms and their applications – Data mining methods for extracting insights from data – Data visualization best practices and tools – How to apply data science to real-world problems

"Data Science For Dummies"  By Lillian Pierson

Overview Part of the famous "Dummies" series, this book provides a broad overview of data science for beginners. It explores topics like big data, programming languages, machine learning, and data visualization from a business perspective. What you will learn: – What is data science, and how it's used in business – An introduction to big data and its applications – Popular programming languages for data science (R and Python) – Machine learning algorithms and their use cases – Data visualization techniques and tools

"Big Data For Dummies"  By Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman

Overview  This book focuses on big data, explaining what it is and why it's crucial from technical and business perspectives. It provides advice on organizing and analyzing big data to solve problems. What you will learn: – What big data is and how it differs from traditional data – How big data is used in business intelligence and problem-solving – Techniques for organizing and supporting big data – Methods for adapting tools and approaches to analyze big data – The business value of big data and how to apply it

Transform Your Career with Great Learning’s Free Data Science Course!  Learn the core principles of data science, including data manipulation, visualization, and predictive analytics, through interactive lessons and hands-on projects.