Predictive Modeling and Analytics
Learn essential predictive analytics techniques for business, from data exploration to advanced modeling using Excel and XLMiner.
Learn essential predictive analytics techniques for business, from data exploration to advanced modeling using Excel and XLMiner.
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.
3.6
(595 ratings)
37,729 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 4 more
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What you'll learn
Learn exploratory data analysis for predictive modeling
Master data visualization and summarization techniques
Apply regression analysis for continuous variable prediction
Implement classification models for binary outcomes
Understand advanced techniques like trees and neural networks
Skills you'll gain
This course includes:
2.3 Hours PreRecorded video
9 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces students to widely-used predictive modeling techniques and their core principles. The curriculum covers exploratory data analysis, data visualization, regression techniques, classification models, and advanced predictive models including trees and neural networks. Using XLMiner, an Excel plug-in, students learn to apply these techniques to real business scenarios. The course emphasizes practical applications across various business functions, from finance to marketing, making it valuable for anyone interested in data-driven decision making.
Exploratory Data Analysis and Visualizations
Module 1 · 2 Hours to complete
Predicting a Continuous Variable
Module 2 · 2 Hours to complete
Predicting a Binary Outcome
Module 3 · 1 Hours to complete
Trees and Other Predictive Models
Module 4 · 4 Hours to complete
Fee Structure
Instructor
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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3.6 course rating
595 ratings
Frequently asked questions
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