Developing Analytic Talent by Granville, Vincent -- Read -- Imperial Library of Trantor

Index

Cover Contents Chapter 1: What Is Data Science?

Real Versus Fake Data Science The Data Scientist Data Science Applications in 13 Real-World Scenarios Data Science History, Pioneers, and Modern Trends Summary

Chapter 2: Big Data Is Different

Two Big Data Issues Examples of Big Data Techniques What MapReduce Can’t Do Communication Issues Data Science: The End of Statistics? The Big Data Ecosystem Summary

Chapter 3: Becoming a Data Scientist

Key Features of Data Scientists Types of Data Scientists Data Scientist Demographics Training for Data Science Data Scientist Career Paths Summary

Chapter 4: Data Science Craftsmanship, Part I

New Types of Metrics Choosing Proper Analytics Tools Visualization Statistical Modeling Without Models Three Classes of Metrics: Centrality, Volatility, Bumpiness Statistical Clustering for Big Data Correlation and R-Squared for Big Data Computational Complexity Structured Coefficient Identifying the Number of Clusters Internet Topology Mapping Securing Communications: Data Encoding Summary

Chapter 5: Data Science Craftsmanship, Part II

Data Dictionary Hidden Decision Trees Model-Free Confidence Intervals Random Numbers Four Ways to Solve a Problem Causation Versus Correlation How Do You Detect Causes? Life Cycle of Data Science Projects Predictive Modeling Mistakes Logistic-Related Regressions Experimental Design Analytics as a Service and APIs Miscellaneous Topics New Synthetic Variance for Hadoop and Big Data Summary

Chapter 6: Data Science Application Case Studies

Stock Market Encryption Fraud Detection Digital Analytics Miscellaneous Summary

Chapter 7: Launching Your New Data Science Career

Job Interview Questions Testing Your Own Visual and Analytic Thinking From Statistician to Data Scientist Taxonomy of a Data Scientist 400 Data Scientist Job Titles Salary Surveys Summary

Chapter 8: Data Science Resources

Professional Resources Career-Building Resources Summary

Introduction

Who This Book Is For What This Book Covers How This Book Is Structured What You Need to Use This Book Conventions