Advanced Business Analytics Capstone
Master data analytics through hands-on project: Analyze financial loans, build predictive models, and present insights.
Master data analytics through hands-on project: Analyze financial loans, build predictive models, and present insights.
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.
4.3
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English
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What you'll learn
Perform comprehensive data analysis for investment decisions
Develop predictive models for loan classification and loss prediction
Apply clustering and optimization techniques for fund allocation
Create compelling presentations of analytical insights
Master the end-to-end analytics process
Skills you'll gain
This course includes:
0.8 Hours PreRecorded video
4 peer-reviewed assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This capstone project focuses on analyzing financial loan data for investment decision-making. Students work through the complete analytics process, from data understanding and cleanup to advanced analysis and presentation. The course covers three main areas: data preparation and visualization, predictive analytics for loan classification and loss prediction, and prescriptive analytics using clustering and simulation-based optimization for investment fund allocation. The project culminates in creating and delivering a professional presentation of analytical insights and recommendations.
Understand the data and prepare your data for analysis
Module 1 · 4 Hours to complete
Perform predictive analytics tasks
Module 2 · 5 Hours to complete
Provide suggestions on how to allocate investment funds using prescriptive analytics tools
Module 3 · 5 Hours to complete
Present your analytics results to your clients
Module 4 · 5 Hours to complete
Fee Structure
Instructors
Instructor
David Torgerson is an Instructor and guest lecturer at the University of Colorado Boulder, where he plays a pivotal role in co-teaching the Master of Business Analytics program Boot Camp. With a strong passion for data and analytics, he believes in their power to create "clarity out of chaos" and transform analytic capabilities into strategic advantages for organizations. His diverse background includes starting his career as a Nuclear Engineer with the U.S. Navy and the Department of Energy, which laid a solid foundation for his later ventures into management consulting.Over the years, Dave has specialized in strategy, analytics, and organizational design, leading to significant roles at various companies, including U.S. Cellular, Gogo, and Sentara Healthcare. He holds multiple degrees, including a B.S. in Electrical Engineering and an MBA from Duke University, as well as advanced degrees in Engineering Administration and Nuclear Engineering. Outside of academia, Dave enjoys triathlons, surfing, playing music, and applying analytics to his hobbies. Through his courses—such as "Advanced Business Analytics Capstone" and "Introduction to Data Analytics for Business"—he equips students with essential skills to leverage data effectively in business contexts.
Associate Professor of Operations Management
Dan Zhang is an Associate Professor of Operations Management at the Leeds School of Business, University of Colorado Boulder. He specializes in operations management and data analytics, teaching a variety of courses across undergraduate, MBA, and PhD programs. His course offerings include "Business Statistics," "Operations Management," "Advanced Data Analytics," "Spreadsheet Modeling," "Stochastic Dynamic Programming," and "Pricing and Revenue Management." Dr. Zhang's research primarily focuses on data-driven decision-making, with applications in pricing and revenue management, supply chain management, and healthcare operations.With a robust portfolio of 20 published research articles, Dr. Zhang is an active contributor to the academic community, frequently presenting at conferences and consulting for companies across Canada, China, Europe, and the United States. He currently serves as the president of the INFORMS Rocky Mountain Chapter, which supports analytics professionals in the region, and is on the advisory board of Tech Valley Inc., a big data startup backed by Microsoft Accelerator. Recently elected as chair of the INFORMS Pricing and Revenue Management Section, he continues to influence the field through his leadership and expertise in pricing strategies and analytics.
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4.3 course rating
80 ratings
Frequently asked questions
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