Data Analysis for Business Decisions: A Laboratory Manual, 2nd Edition

Data Analysis for Business Decisions: A Laboratory Manual, 2nd Edition
PDF, ePUB
  • eBook:
    Data Analysis for Business Decisions: A Laboratory Manual, 2nd Edition
  • Author:
    Andres Fortino
  • Edition:
    2 edition
  • Categories:
  • Data:
    August 26, 2020
  • ISBN:
    1683925920
  • ISBN-13:
    9781683925927
  • Language:
    English
  • Pages:
    166 pages
  • Format:
    PDF, ePUB

Book Description
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

Content

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

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