Description
I need help with coming up with a topic for my final class presentation. Once you have come up with the topic, you will need to build 3 models in excel. I will need the excel from you. Below I am pasting the instructions to the project.Please help me come up with a thorough plan of executing this.
You will be required to APPLY a minimum of three of the four concepts learned (forecasting, decision analysis, regression, linear programming) in an integrated fashion to SOLVE a real-world opportunity either for the company in which you work or by selecting a broad topic or industry (stock market, sports, politics, real estate, etc.). Dissect the issue or opportunity you are exploring, and bring transformative changes through the lens of concepts you have learned in this course.
I need data that can give me a high correlation or R2 of over 0.80. I prefer around 0.85 R2.
Topic: The Impact of Remote Work on Real Estate Demand in Major Cities.
For the topic, feel free to change it if you think this is too difficult. I would like to focus on the city of Los Angeles. Before you change anything, please let me know.
I am looking for someone to build me all three models based on the topic provided above. This is a master level course, so Quantitative Analysis for Business and data science knowledge is required.
Graded Elements:
Originality of work. (Do not simply download models from the internet; you will need to find data and design and build your own models
Exemplifies master’s-level work and mastery of concepts.
Interpretation and application of key concepts (e.g., MAD, MAPE, R2, coefficientvalues).
Ability to communicate data successfully (data storytelling).
Good mixture of descriptive analytics and predictive analytics. Use Tableau to understand key patterns in your business. Use predictive analytics to bring insights and recommendations.
Interpretation and application of key concepts in the course, in simple-to-understand terms for business setting (MAD, MAPE, R2, 95% prediction interval, sensitivity analysis).
Appropriate modeling techniques applied.
