The final task of this capstone project is to create a presentation based on the outcomes of all tasks in previous modules and labs. Your presentation will develop into a story of all your data science journey in this project, and it should be compelling and easy to understand.
In the next exercise, you can find a provided PowerPoint template to help you get started. However, you are free to add additional slides, charts, and tables.
There are a total of 40 points possible for the final assessment, and you will be graded by your peers, who are also completing this assignment.
The main grading criteria will be:
Uploaded the URL of your GitHub repository including all the completed notebooks and Python files (1 pt)
Uploaded your completed presentation in PDF format (1 pt)
Completed the required Executive Summary slide (1 pt)
Completed the required Introduction slide (1 pt)
Completed the required data collection and data wrangling methodology related slides (1 pt)
Completed the required EDA and interactive visual analytics methodology related slides (3 pts)
Completed the required predictive analysis methodology related slides (1 pt)
Completed the required EDA with visualization results slides (6 pts)
Completed the required EDA with SQL results slides (10 pts)
Completed the required interactive map with Folium results slides (3 pts)
Completed the required Plotly Dash dashboard results slides (3 pts)
Completed the required predictive analysis (classification) results slides (6 pts)
Completed the required Conclusion slide (1 pts)
Applied your creativity to improve the presentation beyond the template (1 pts)
Displayed any innovative insights (1 pts)
You will not be judged on:
Your English language, including spelling or grammatical mistakes The content of any text or image(s) or where a link is hyperlinked to