Data Analysis for Business Decisions Edition 2

A Laboratory Manual

Paperback
August 2020
9781683925927
More details
  • Publisher
    Mercury Learning & Information
  • Published
    26th August
  • ISBN 9781683925927
  • Language English
  • Pages 166 pp.
  • Size 7" x 9"
$49.95
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August 2020
9781683925903
More details
  • Publisher
    Mercury Learning & Information
  • Published
    5th August
  • ISBN 9781683925903
  • Language English
  • Pages 166 pp.
  • Size 7" x 9"
$129.95
E-Book (ePub)
August 2020
9781683925910
More details
  • Publisher
    Mercury Learning & Information
  • Published
    5th August
  • ISBN 9781683925910
  • Language English
  • Pages 166 pp.
  • Size 7" x 9"
$34.95

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book.

Features:

  • Teaches the statistical analysis skills needed to support business decisions
  • Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets
  • Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies

1: Shaping and Cleaning Data
2: Installing the Analysis ToolPak
3: Descriptive Statistics
4: Histograms.
5: Pareto Analysis
6: Scatter Plots
7: Correlation and Linear Regression
8: Multivariate Regression 
9: Forecasting and Time Series
10: Inferential Statistics
11: Contingency Analysis
12: A/B Testing 
13: Text Analytics
14: Analyzing Big Data Sets
15: Data Visualization
16. Summary of Analysis
Techniques.
Index.

Andres Fortino

Andres Fortino, PhD holds an appointment as a clinical associate professor of management and systems at the NYU School of Professional Studies, where he teaches courses in business analytics, data mining, and data visualization. He also leads his own consulting company, Fortino Global Education. Dr. Fortino has           published ten books and over 40 academic papers, and has received IBM's First Invention Level Award for his work in semiconductor research. He holds three US patents and ten invention disclosures.