The best data analytic business project proposal for real estate nowadays.

Here are some steps you can follow to create an effective proposal:

• Define your objective: Start by clearly stating your objective for the project. What problem are you trying to solve or what question are you trying to answer? Be specific and concise.

• Identify the data: Determine what data you will need to collect, analyze, and interpret in order to achieve your objective. This may involve identifying data sources, designing surveys or experiments, or collecting data from existing databases.

• Outline your methodology: Describe the analytical methods you will use to analyze the data and achieve your objective. This may include statistical analysis, data mining, machine learning, or other techniques.

• Consider feasibility: Consider the feasibility of your project. Is it feasible to collect and analyze the data you need within the time and resource constraints of the course? Are the methods you are proposing appropriate for the data and objectives?

• Consider impact: Consider the potential impact of your project. Will it provide valuable insights or recommendations to stakeholders? How will the results of your analysis be used? how can you measure your experiment success?

• Write the proposal: Write a clear and concise proposal that outlines your objective, data sources, methodology, feasibility, and potential impact. you can use this template Introducing the AI Project Canvas | by Jan Zawadzki | Towards Data Science to write your proposal