000			02724nam a22002297a 4500
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008			230322b ||||| |||| 00| 0 eng d
020			_a9788126558223
082			_a006.312 _bAND
100			_aAnderson, Alan _913337
245			_aStatistics for big data for dummies
260			_bWiley India Pvt. Ltd. _aNew Delhi _c2022
300			_axii, 366 p.
365			_aINR _b699.00
504			_aTable of content Part I: Introducing Big Data Statistics Chapter 1: What is Big Data and What Do You Do With It? Chapter 2: Characteristics of Big Data: The Three Vs Chapter 3: Using Big Data: The Hot Applications Chapter 4: Understanding Probabilities Chapter 5: Basic Statistical Ideas Part II: Preparing and Cleaning Data Chapter 6: Dirty Work: Preparing Your Data for Analysis Chapter 7: Figuring the Format: Important Computer File Formats Chapter 8: Checking Assumptions: Testing for Normality Chapter 9: Dealing with Missing or Incomplete Data Chapter 10: Sending Out a Posse: Searching for Outliers Part III: Exploratory Data Analysis (EDA) Chapter 11: An Overview of Exploratory Data Analysis (EDA) Chapter 12: A Plot to Get Graphical: Graphical Techniques Chapter 13: You're the Only Variable for Me: Univariate Statistical Techniques Chapter 14: To All the Variables We've Encountered: Multivariate Statistical Techniques Chapter 15: Regression Analysis Chapter 16: When You've Got the Time: Time Series Analysis Part IV: Big Data Applications Chapter 17: Using Your Crystal Ball: Forecasting with Big Data Chapter 18: Crunching Numbers: Performing Statistical Analysis on Your Computer Chapter 19: Seeking Free Sources of Financial Data Part V: The Part of Tens Chapter 20: Ten (or So) Best Practices in Data Preparation Chapter 21: Ten (or So) Questions Answered by Exploratory Data Analysis (EDA) Index
520			_aStatistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world and much more.
650			_aBig data _913179
650			_aMathematical statistics _913214
700			_aSemmelroth, David _913338
856			_uhttps://www.wiley.com/en-in/Statistics+for+Big+Data+For+Dummies-p-9781118940013
942			_2ddc _cBK
999			_c5019 _d5019