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Duke University - Increasing Real Estate Management Profits: Harnessing Data Analytics 

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Increasing Real Estate Management Profits: Harnessing Data Analytics
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Coursera 
Overview

Duration

23 hours

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Total fee

Free

Mode of learning

Online

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Credential

Certificate

Increasing Real Estate Management Profits: Harnessing Data Analytics
 at 
Coursera 
Highlights

  • 27% started a new career after completing these courses.
  • Earn a shareable certificate upon completion.
  • Flexible deadlines according to your schedule.
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Increasing Real Estate Management Profits: Harnessing Data Analytics
 at 
Coursera 
Course details

More about this course
  • 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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Increasing Real Estate Management Profits: Harnessing Data Analytics
 at 
Coursera 
Curriculum

Introduction

Introduction to the Capstone Project

What Watershed Owners Care About

Elicitation Interview with Your Project Manager

Elicitation Interview with Watershed's Marketing Director

Elicitation Interview with Watershed's Financial Director

Course Overview

Special Thanks!

About the Course Team

FAQ (Frequently Asked Questions)

Lesson Overview

Elicitation Refresher

Letter from Your Project Manager

What are Project Managers, Anyway?

Background about the Short-term Rental Industry

Lesson Overview

Outlining an SPAP

Requirements and Assumptions

Elicitation

Data Extraction and Visualization

Meet Your Data

How to Meet and Retrieve Your Data

Visualize Your Data to Make Sure You Know What They Are

Verify You Have Extracted the Correct Data

Make Sure You Understand What Your Data Mean

Modeling

Creating a Predictive Model for Short-term Rental Rates

Normalizing Rents to Improve Occupancy Forecasting

Using the Dollars to Percentile Conversion Guide Spreadsheet

Optimizing Rents to Maximize Revenues

Using the Solver Revenue Maximization Guide Spreadsheet

Week 3 Learning Goals

Single Workbook Containing Template Spreadsheets 1-3

Single Workbook Containing Guide Spreadsheets

Best Practices for Setting up an Excel Spreadsheet

Using the First Best-Fit Line Template Spreadsheet

First Best Fit Line Template (Spreadsheet 1)

Using the Normalized Data and Model Template Spreadsheet

Normalized Data and Model Template (Spreadsheet 2)

Dollars to Percentile Conversion Guide Spreadsheet

Applying Normalization to the Comparable Properties

Lesson Overview

Solver Revenue Maximization Guide Spreadsheet

Optimizing Watershed Rents

Solver Rent Optimization Template (Spreadsheet 3)

Alternative to Solver Template (Spreadsheet 4)

First Best-Fit Line

Normalization

Applying Normalization to the Comparable Properties

Optimization Basics

Optimizing Watershed Rents

Cash Flow and Profits

Estimating Watershed Cash Flow and Profits

Distinguishing Cash Flow from Profits and Losses

Using the Annual Cash Flows and Profits Spreadsheet

Week 4 Learning Goals

Single Workbook Containing Template Spreadsheets 5-6

Using the Alternative to Solver Template Spreadsheet

Using the Forecasting Cash Flow and Profits Template Spreadsheet

Forecasting Cash Flow and Profits Template (Spreadsheet 5)

Annual Cash Flows and Profits Guide Spreadsheet

Using the Sorting by Profitability Template Spreadsheet

Sorting by Profitability Template (Spreadsheet 6)

The Value of Considering Cash Flow Risk and Total Cash Required

The Value of Financial Sensitivity Analysis in General

Alternative to Solver

Profitability

Cash Flow Risk and Total Cash Required

Sensitivity Analysis: Measuring Cutoffs at 40% Transaction Fee

Data Dashboard

Using Tableau to Perform Sensitivity Analysis

Dashboard for Analyst Use

Dashboard Modification for a Financial Audience

Bar in Bar Graphs in Tableau

Histograms in Tableau

Tables in Tableau

How to Get Started Making Your Dashboard

Additional charts for your sensitivity analysis

Dashboard for Decision-makers

Preparing Your Dashboard for Decision-makers

Jittered Maps in Tableau

Lesson Overview

How to Use Jittering to Depict Multiple Data Points in the Same Geographic Location

Turning Your Sensitivity Analysis into a Recommendation

Finalizing Your Dashboard

Tableau Tricks to Try on Your Own (Including R Integration!)

Sensitivity Analysis

Final Project

Persuading Decision-makers to Follow Your Recommendations

Congratulations on Joining the Exciting Field of Data Analytics!

New Information from Your Project Manager!

White Paper Background Information

About the Final Project

PART I: Tableau Dashboard Instructions

PART 2: White Paper Instructions

PART 3: Presentation Instructions

A Very Important Question!

Increasing Real Estate Management Profits: Harnessing Data Analytics
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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