Inferential and Predictive Statistics for Business
Master statistical analysis for business decisions using Excel, covering hypothesis testing, regression analysis, and predictive modeling techniques.
Master statistical analysis for business decisions using Excel, covering hypothesis testing, regression analysis, and predictive modeling techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Managerial Economics and Business Analysis Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(855 ratings)
33,464 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Test hypotheses about population parameters
Compare differences between sample populations
Develop linear regression models for prediction
Use Excel for advanced statistical analysis
Interpret statistical results for business decisions
Skills you'll gain
This course includes:
5.1 Hours PreRecorded video
23 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course provides an analytical framework for evaluating business problems using statistical methods. Students learn to apply statistical inference and predictive modeling techniques through Excel, focusing on hypothesis testing, comparative analysis, and both simple and multiple linear regression. The curriculum emphasizes practical application of statistical concepts in business settings, enabling data-driven decision making.
Course Orientation
Module 1 · 1 Hours to complete
Module 1: Hypothesis Testing
Module 2 · 4 Hours to complete
Module 2: Statistical Inference Based on Two Samples
Module 3 · 5 Hours to complete
Module 3: Simple Linear Regression
Module 4 · 4 Hours to complete
Module 4: Multiple Linear Regression
Module 5 · 3 Hours to complete
Fee Structure
Instructor
Clinical Professor of Business Administration
Fataneh Taghaboni-Dutta is a Clinical Professor of Business Administration at the University of Illinois at Urbana-Champaign, where she has been teaching since 2009. She specializes in operations and process management, with a focus on product development, technology strategy, and project management. Her research primarily explores the integration of technology with management practices, particularly emphasizing the deployment of Radio Frequency Identification (RFID) technology in manufacturing and global supply chains. Dr. Taghaboni-Dutta holds three degrees in industrial engineering from Purdue University, including a Ph.D. earned in 1989. She has received multiple accolades for her teaching excellence and is actively involved in enhancing educational practices through her research and course offerings.
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4.8 course rating
855 ratings
Frequently asked questions
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