Increasing Real Estate Management Profits: Harnessing Data Analytics
- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 23 hours to complete
Course Summary
This course provides an opportunity to apply the knowledge and skills acquired in the previous courses of the Analytics: Essential Tools and Methods specialization. The capstone project involves analyzing a real-world data set and presenting your findings using a variety of tools and techniques.Key Learning Points
- Hands-on experience with real-world data analysis
- Opportunity to apply knowledge and skills acquired in previous courses
- Learn to use a variety of tools and techniques for data analysis
Job Positions & Salaries of people who have taken this course might have
- USA: $60,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €30,000 - €50,000
- USA: $60,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €30,000 - €50,000
- USA: $70,000 - $120,000
- India: ₹5,00,000 - ₹15,00,000
- Spain: €35,000 - €60,000
- USA: $60,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €30,000 - €50,000
- USA: $70,000 - $120,000
- India: ₹5,00,000 - ₹15,00,000
- Spain: €35,000 - €60,000
- USA: $90,000 - $150,000
- India: ₹8,00,000 - ₹25,00,000
- Spain: €50,000 - €80,000
Related Topics for further study
Learning Outcomes
- Ability to analyze real-world data using various tools and techniques
- Experience working in a team to complete a data analysis project
- Improved presentation skills to effectively communicate findings
Prerequisites or good to have knowledge before taking this course
- Completion of previous courses in the Analytics: Essential Tools and Methods specialization
- Familiarity with data analysis tools such as Python, R or Excel
Course Difficulty Level
AdvancedCourse Format
- Online Self-paced Course
- Capstone Project
Similar Courses
- Applied Data Science Capstone
- Data Science Capstone
Related Education Paths
Related Books
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.
Outline
- 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!
Summary of User Reviews
The Analytics Capstone course on Coursera has received positive reviews from users. Learners found the course to be informative and engaging, with a practical approach to data analysis. One key aspect that many users appreciated was the real-world case study project that allowed them to apply their newly acquired skills.Pros from User Reviews
- Real-world case study project allows learners to apply their skills
- Informative and engaging course content
- Practical approach to data analysis
- Highly qualified and supportive instructors
- Flexible schedule allows learners to work at their own pace
Cons from User Reviews
- Some users found the course to be too basic
- Lack of interaction with other learners
- Course materials could be more organized
- Some technical issues with the platform
- Not enough emphasis on statistical analysis
Daniel Egger
4.7 Raiting
Increasing Real Estate Management Profits: Harnessing Data Analytics
- 4.7
-
![]()
![]()
![]()
![]()
![]()
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....
