Business Statistics and Analysis Capstone
Apply statistical analysis techniques to real housing data. Analyze market values, develop predictive models, and communicate findings clearly.
Apply statistical analysis techniques to real housing data. Analyze market values, develop predictive models, and communicate findings clearly.
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 Business Statistics and 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.
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English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Apply statistical techniques to analyze differences in market values of housing units
Evaluate and determine fair market rent based on data analysis
Develop statistically valid models to explain market value variations
Build predictive models to forecast housing market values
Communicate statistical findings in clear, non-technical language
Merge and clean real-world datasets for comprehensive analysis
Skills you'll gain
This course includes:
1.1 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This capstone course provides a practical opportunity to apply statistical analysis skills to real-world housing data. Working with publicly available housing datasets, students tackle typical business questions that data analysts face in their professional roles. The course is structured around four main assessments. First, learners clean and merge data to prepare it for analysis. Then they analyze differences in market values of housing units and evaluate fair market rent. The third assessment involves developing a model for market value based on various factors. Finally, students build and validate a predictive model to forecast housing market values. Throughout the project, emphasis is placed on communicating findings clearly so that anyone can understand the analysis and its implications. The course is designed to simulate real-world data analysis challenges, requiring students to apply skills developed across the specialization in an integrated, practical context.
Business Statistics and Analysis Capstone: An Introduction
Module 1 · 2 Hours to complete
Business Statistics and Analysis Capstone: Assessments 1 & 2
Module 2 · 1 Hours to complete
Business Statistics and Analysis Capstone: Assessment 3
Module 3 · 1 Hours to complete
Business Statistics and Analysis Capstone: Assessment 4
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Associate Professor of Management
Sharad is a faculty of Management at the Jones Graduate School of Business at Rice University, Houston, Texas. He holds a Ph.D. from Carnegie Mellon University, and his expertise lies in Business statistics and data analytics.
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