Statistics for big data for dummies / by Alan Anderson, PhD with David Semmelroth.

Format:

Book

Author/Creator:

Anderson, Alan, author.

Semmelroth, David, author.

Series:

For dummies

Language:

English

Subjects (All):

Big data--Statistical methods.

Big data.

Physical Description:

1 online resource (387 p.)

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Inc., 2015.

Summary:

The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! Statistics 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-E

Contents:

Title Page; Copyright Page; Table of Contents; Introduction; About This Book; Foolish Assumptions; Icons Used in This Book; Beyond the Book; Where to Go From Here; Part I Introducing Big Data Statistics; Chapter 1 What Is Big Data and What Do You Do with It?; Characteristics of Big Data; Exploratory Data Analysis (EDA); Graphical EDA techniques; Quantitative EDA techniques; Statistical Analysis of Big Data; Probability distributions; Regression analysis; Time series analysis; Forecasting techniques; Chapter 2 Characteristics of Big Data: The Three Vs; Characteristics of Big Data; Volume

VelocityVariety; Traditional Database Management Systems (DBMS); Relational model databases; Hierarchical model databases; Network model databases; Alternatives to traditional database systems; Chapter 3 Using Big Data: The Hot Applications; Big Data and Weather Forecasting; Big Data and Healthcare Services; Big Data and Insurance; Big Data and Finance; Big Data and Electric Utilities; Big Data and Higher Education; Big Data and Retailers; Nordstrom; Walmart; Amazon.com; Big Data and Search Engines; Big Data and Social Media; Chapter 4 Understanding Probabilities

The Core Structure: Probability SpacesDiscrete Probability Distributions; Counting outcomes; When only two things can happen: The binomial distribution; Continuous Probability Distributions; The normal distribution; Introducing Multivariate Probability Distributions; Joint probabilities; Unconditional probabilities; Conditional probabilities; Chapter 5 Basic Statistical Ideas; Some Preliminaries Regarding Data; Nominal data; Ordinal data; Summary Statistical Measures; Measures of central tendency; Measures of dispersion; Overview of Hypothesis Testing; The null hypothesis

Computing the test statistic

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed February 24, 2016).

ISBN:

9781118940020

1118940024

9781118940037

1118940032