Increasing Real Estate Management Profits: Harnessing Data Analytics

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You'll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You'll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI

Created by: Daniel Egger

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Overall Score : 94 / 100

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Course Description

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. Airbnb, our Capstone's official Sponsor, provided input on the project design. 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."Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone."

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Instructor Details

Daniel Egger

Daniel Egger has more than seventeen years experience creating new software products and services, as founder and CEO of a series of venture-backed information technology companies, and as Managing Partner in a venture capital fund. Egger is Executive in Residence in Duke University's Master of Engineering Management Program and has taught courses in entrepreneurship and venture capital at Duke since 2003. He was formerly the Howard Johnson Foundation Entrepreneur-in-Residence in Duke's Markets and Management Program for undergraduates.

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Reviews

4.7

155 total reviews

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By Mikhail P on 11-Jul-18

Great project to show the skills you learned!

By Michael N on 31-Aug-17

I highly recommend this as a data analysis course. Other MOOCs in data analysis satisfy themselves with teaching you to swim with wings in the paddle pool. Here you graduate with stormy seas swimming skills that will help you in the real world. Very challenging but very worthwhile.

By Michael D on 25-Jul-16

The capstone project and corresponding course work is amazing. The project is framed as a business analysis problem with you acting as the analyst. You are tasked with exploring the company's database to extract the relevant information, construct a predictive model in Excel, visualize the results in Tableau, and deliver a persuasive presentation for your expert recommendation. This project actually utilizes skills learned throughout the specialization with an actual application of knowledge. Duke doesn't leave you stranded though. The course offers quizzes along the way to ensure that you have the correct values to arrive at the correct assumptions at each step so you know you can accomplish this task. I highly recommend this project and thank the University for this learning opportunity.

By Seshadri G on 21-Sep-17

This course would help you consolidate all the learnings from the previous modules and apply them in a realistic situation.

By Nicholas A P on 22-Aug-18

It was great and I learned a lot. This is making me want to go back to grad school to get my MBA in Finance and a Masters in Business Analytics. :) The only thing I think could be improved is to be more clear on the instructions in certain areas and let students do the analysis part.

By Wong L L on 17-Sep-17

The workload of this course is not very high. This course also expands slightly on Tableau skills from the previous course on Tableau. One of the first few weeks also involve extracting data using SQL, so this was new experience. My overall opinion is that this course really spoon-feed quite a bit, so that during the peer review you can see almost everyone comes with almost identical proposal. As of now it seems there is still a healthy number of students who take this module (which is really important for any peer-reviewed course). Finally kudos to the team and Coursera for making this course free for anyone who have completed the other courses in this specialization.

By Virgil B on 21-Jan-19

This was a good Capstone, learned so much.

By Sabrina R on 23-Aug-18

Excellent

By Megan C on 1-Nov-18

A great way to put the learning into practice. Strongly encourage anyone who started this specialisation course to complete the Capstone project.

By David A R B on 16-Aug-17

Awesome course, the business case, realy cool

By Kuljeet K on 1-Mar-17

Good

By Majid A on 19-Mar-16

Amazing!!!