
Data Analysis for Business Decisions
A Laboratory Manual
Andres Fortino(Author)
Mercury Learning & Information (Publisher)
2nd Edition
Will be published approx. on 9. September 2020
Book
Paperback/Softback
166 pages
978-1-68392-592-7 (ISBN)
Description
No detailed description available for "Data Analysis for Business Decisions".
More details
Edition
2nd Revised edition
Language
English
Place of publication
Herndon, VA
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Revised edition
Product notice
Klappenbroschur
Dimensions
Height: 229 mm
Width: 178 mm
Thickness: 11 mm
Weight
317 gr
ISBN-13
978-1-68392-592-7 (9781683925927)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
08/2020
2nd Edition
Mercury Learning and Information
€42.99
Available for download
Person
Fortino Andres:
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.
Content
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.
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.