Name: Statistics for Big Data for Dummies
Brand: For Dummies
SKU: 9781118940013
Price: 1433.0 INR
Availability: InStock

Statistics for Big Data for Dummies

by Alan Anderson

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ISBN13: 9781118940013
Binding: Paperback
Subject: N/A
Publisher: For Dummies
Publisher Imprint: For Dummies
Publication Date: September 8, 2015
Pages: 384
Original Price: GBP 16.99
Language: English
Edition: N/A
Item Weight: 499 grams
BISAC Subject(s): Data Science / Data Analytics

About The Book

From the Back Cover

Learn to:

Collect, clean, and interpret data
Effectively communicate data analysis
Make good predictions

Big data making you dizzy? Relax--here's what it's all about

Big data figures into everything from weather forecasting to political polling. Don't let it give you a big headache; use this friendly book to learn about it in manageable, bite-size chunks. You'll get a handle on the statistical methods used when working with big data, applications for it, ways to organize and check data, and a whole lot more.

Solving the big mystery--find out what big data is, characteristics that define it, how it's used, and what it makes possible
How to handle it -- explore statistical techniques used with big data, including probability distributions, regression analysis, time series analysis, and forecasting techniques
Getting graphical -- learn how big data can be analyzed with graphical techniques and how to identify valid, useful, and understandable patterns in data
A variable approach -- examine key univariate and multivariate statistical techniques for analyzing data
Thinking ahead -- discover techniques for forecasting the future values of a dataset
There's a tool for that -- learn about the best software packages and programming tools for analyzing statistical data

Open the book and find:

Ways to extract previously unknown information from a database
Tips for data collection and cleaning
Techniques for analyzing time series data
How to check data for missing information
What to do with outliers in a dataset
Some surprising uses for big data
An overview of modeling techniques

About The Author

Alan Anderson, PhD, is a professor of economics and finance at Fordham University and New York University. He's a veteran economist, risk manager, and fixed income analyst.

David Semmelroth is an experienced data analyst, trainer, and statistics instructor who consults on customer databases and database marketing.

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