Statistics for Big Data for Dummies

Part I: Introducing Big Data Statistics
1. What is Big Data and What Do You Do With It?
2. Characteristics of Big Data: The Three Vs
3. Using Big Data: The Hot Applications
4. Understanding Probabilities
5. Basic Statistical Ideas
Part II: Preparing and Cleaning Data
6. Dirty Work: Preparing Your Data for Analysis
7. Figuring the Format: Important Computer File Formats
8. Checking Assumptions: Testing for Normality
9. Dealing with Missing or Incomplete Data
10. Sending Out a Posse: Searching for Outliers
Part III: Exploratory Data Analysis (EDA)
11. An Overview of Exploratory Data Analysis (EDA)
12. A Plot to Get Graphical: Graphical Techniques
13. You're the Only Variable for Me: Univariate Statistical Techniques
14. To All the Variables We've Encountered: Multivariate Statistical Techniques
15. Regression Analysis
16. When You've Got the Time: Time Series Analysis
Part IV: Big Data Applications
17. Using Your Crystal Ball: Forecasting with Big Data
18. Crunching Numbers: Performing Statistical Analysis on Your Computer
19. Seeking Free Sources of Financial Data
Part V: The Part of Tens
20. Ten (or So) Best Practices in Data Preparation
21. Ten (or So) Questions Answered by Exploratory Data Analysis (EDA)