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Data Analysis for Business Decisions : A Laboratory Manual / Andres Fortino.

By: Material type: TextTextPublisher: Dulles, VA : Mercury Learning and Information, [2020]Copyright date: 2020Description: 1 online resource (166 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9781683925927
  • 9781683925910
  • 9781683925903
Subject(s): DDC classification:
  • 658.403 23
LOC classification:
  • HD30.23 .F678 2020
Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- Contents -- Preface -- 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 -- Index
Summary: 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 The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9781683925903

Frontmatter -- Contents -- Preface -- 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 -- Index

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

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 The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Aug 2024)