Increasing Real Estate Management Profits: Harnessing Data Analytics

Increasing Real Estate Management Profits: Harnessing Data Analytics

Credential
Department

Pratt School of Engineering

Intermediate

English

8 weeks

Variable

Overview

Increasing Real Estate Management Profits is final course of the Excel to MySQL: Analytic Techniques for Business Coursera Specialization.

In this final course you will complete a Capstone Project using data analysis to recommend a method for improving profits for your company, Watershed Property Management, Inc. Watershed is responsible for managing thousands of residential rental properties throughout the United States. Your job is to persuade Watershed’s management team to pursue a new strategy for managing its properties that will increase their profits.

To do this, you will: (1) Elicit information about important variables relevant to your analysis; (2) Draw upon your new MySQL database skills to extract relevant data from a real estate database; (3) Implement data analysis in Excel to identify the best opportunities for Watershed to increase revenue and maximize profits, while managing any new risks; (4) Create a Tableau dashboard to show Watershed executives the results of a sensitivity analysis; and (5) Articulate a significant and innovative business process change for Watershed based on your data analysis, that you will recommend to company executives.

Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone.

Instructors

Daniel Egger
Daniel Egger

Executive in Residence

Jana Schaich Borg
Jana Schaich Borg

Assistant Research Professor in the Social Science Research Institute

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The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.


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