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. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting.
Paperback
PRODUCT INFORMATION
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. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting.
Description
No detailed description available for "Data Analysis for Business Decisions".
About the Author
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.
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
Product Details
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.
Browse by category
- Books » Non-Fiction » Business & Management » Business Studies: Study & Revision Guides
- Books
- Books » Non-Fiction
- Books » Non-Fiction » Business & Management
- Books » Non-Fiction » Computers & Technology » Computer Science
- Books » Non-Fiction » Computers & Technology
- Books » Non-Fiction » Computers & Technology » Databases & Big Data » Data Mining
- Books » Non-Fiction » Computers & Technology » Databases & Big Data
- Books » Non-Fiction » Business & Management » Management & Management Techniques » Management Decision Making
- Books » Non-Fiction » Business & Management » Management & Management Techniques
