Statistics for Big Data For Dummies

Statistics for Big Data For Dummies


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Product Details

ISBN-13: 9781118940013
Publisher: Wiley
Publication date: 09/08/2015
Series: For Dummies Series
Pages: 384
Sales rank: 362,201
Product dimensions: 7.30(w) x 9.20(h) x 0.80(d)

About the Author

Alan Anderson, PhD, is a professor of economics and finance at Fordham University and New York University. He's a veteran economist, risk manager, and fixed income analyst. David Semmelroth is an experienced data analyst, trainer, and statistics instructor who consults on customer databases and database marketing.

Table of Contents

Introduction 1

Part I: Introducing Big Data Statistics 7

Chapter 1: What Is Big Data and What Do You Do With It? 9

Chapter 2: Characteristics of Big Data: The Three Vs 19

Chapter 3: Using Big Data: The Hot Applications 27

Chapter 4: Understanding Probabilities 41

Chapter 5: Basic Statistical Ideas 57

Part II: Preparing and Cleaning Data 81

Chapter 6: Dirty Work: Preparing Your Data for Analysis 83

Chapter 7: Figuring the Format: Important Computer File Formats 99

Chapter 8: Checking Assumptions: Testing for Normality 107

Chapter 9: Dealing with Missing or Incomplete Data 119

Chapter 10: Sending Out a Posse: Searching for Outliers 129

Part III: Exploratory Data Analysis (EDA) 141

Chapter 11: An Overview of Exploratory Data Analysis (EDA) 143

Chapter 12: A Plot to Get Graphical: Graphical Techniques 155

Chapter 13: You’re the Only Variable for Me: Univariate Statistical Techniques 173

Chapter 14: To All the Variables We’ve Encountered:Multivariate Statistical Techniques 191

Chapter 15: Regression Analysis 215

Chapter 16: When You’ve Got the Time: Time Series Analysis 243

Part IV: Big Data Applications 269

Chapter 17: Using Your Crystal Ball: Forecasting with Big Data 271

Chapter 18: Crunching Numbers: Performing Statistical Analysis on Your Computer 297

Chapter 19: Seeking Free Sources of Financial Data 319

Part V: The Part of Tens 331

Chapter 20: Ten (or So) Best Practices in Data Preparation 333

Chapter 21: Ten (or So) Questions Answered by Exploratory Data Analysis (EDA) 339

Index 349

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