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Statistics For Big Data For Dummies

By: Anderson, Alan.
Contributor(s): Semmelroth, David.
Publisher: New Delhi Wiley India Pvt. Ltd. 2015Description: xii, 366p.ISBN: 9788126558223.Subject(s): Big Data -- Statistical MethodsDDC classification: 005.7
Contents:
Introduction 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
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GEN 005.7 AN-S (Browse shelf) Available 305964
General Book General Book LMTSOM Library
General Section
GEN 005.7 AN-S (Browse shelf) Available 305965



Introduction



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

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