Business Analytics for Decision Making
Learn to create data-driven business solutions using cluster analysis, Monte Carlo simulation, and optimization techniques in Excel.
Learn to create data-driven business solutions using cluster analysis, Monte Carlo simulation, and optimization techniques in Excel.
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 Advanced Business Analytics 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.
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English
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What you'll learn
Create models for data-driven business decision making
Apply cluster analysis for market segmentation
Use Monte Carlo simulation to model uncertainty
Implement optimization techniques for business problems
Develop practical solutions using Excel-based analytics tools
Skills you'll gain
This course includes:
3.3 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches practical business analytics techniques for optimal decision-making. Students learn cluster analysis for market segmentation, Monte Carlo simulation for modeling uncertainty, and optimization methods for identifying best solutions. The curriculum focuses on hands-on application using Excel and the Analytic Solver Platform, making advanced analytics accessible without requiring programming skills. Through real-world cases and practical assignments, participants develop skills in predictive and prescriptive analytics for business problem-solving.
Data Exploration and Reduction — Cluster Analysis
Module 1 · 2 Hours to complete
Dealing with Uncertainty and Analyzing Risk
Module 2 · 2 Hours to complete
Identifying the Best Options — Optimization
Module 3 · 2 Hours to complete
Decision Analytics
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Professor of Management Science
Manuel Laguna is the Director of Global Initiatives and the MediaOne Professor of Management Science at the Leeds School of Business, University of Colorado Boulder. He began his academic career at CU Boulder in 1990 after earning his master's and doctoral degrees in Operations Research and Industrial Engineering from the University of Texas at Austin. With a focus on the intersection of computer science, artificial intelligence, and operations research, Dr. Laguna has published over one hundred works, including four books, and has secured research funding from both private industry and government agencies such as the National Science Foundation and the Environmental Protection Agency.In addition to his academic roles, Manuel is a co-founder of OptTek Systems, a Boulder-based software and consulting firm that specializes in optimization solutions. He serves as the editor-in-chief of the Journal of Heuristics and has held various leadership positions within the Leeds School of Business, including Division Chair and Interim Dean. Dr. Laguna teaches several courses related to business analytics, such as "Advanced Business Analytics Capstone" and "Business Analytics for Decision Making," where he equips students with essential skills to leverage data for informed decision-making in business contexts. Through his research, teaching, and industry involvement, Manuel Laguna continues to make significant contributions to the field of management science.
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4.6 course rating
1,797 ratings
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