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020			_a9788126558223
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082			_a006.312 _bAND
100			_aAnderson, Alan _949457
245			_aStatistics for Big Data for Dummies
260			_aNew Delhi _bWiley India Pvt. Ltd. _c2015
300			_a388p
500			_aPart 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)
700			_aSemmelroth, David _942119
942			_2ddc _cLB _k006.312 _mAND
999			_c120367 _d120367