Data Science For Dummies. Lillian Pierson

Data Science For Dummies®, 3rd Edition

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      Library of Congress Control Number: 2021944259

      ISBN 978-1-119-81155-8 (pbk); ISBN 978-1-119-81166-4 (ebk); ISBN 978-1-119-81161-9 (ebk)

      Data Science For Dummies®

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      Table of Contents

      1  Cover

      2  Title Page

      3  Copyright

      4  Introduction About This Book Foolish Assumptions Icons Used in This Book Beyond the Book Where to Go from Here

      5  Part 1: Getting Started with Data Science Chapter 1: Wrapping Your Head Around Data Science Seeing Who Can Make Use of Data Science Inspecting the Pieces of the Data Science Puzzle Exploring Career Alternatives That Involve Data Science Chapter 2: Tapping into Critical Aspects of Data Engineering Defining Big Data and the Three Vs Identifying Important Data Sources Grasping the Differences among Data Approaches Storing and Processing Data for Data Science

      6  Part 2: Using Data Science to Extract Meaning from Your Data Chapter 3: Machine Learning Means … Using a Machine to Learn from Data Defining Machine Learning and Its Processes Considering Learning Styles Seeing What You Can Do Chapter 4: Math, Probability, and Statistical Modeling Exploring Probability and Inferential Statistics Quantifying Correlation Reducing Data Dimensionality with Linear Algebra Modeling Decisions with Multiple Criteria Decision-Making Introducing Regression Methods Detecting Outliers Introducing Time Series Analysis Chapter 5: Grouping Your Way into Accurate Predictions Starting with Clustering Basics Identifying