As our organization continues to grow, it is important for us to stay up to date with our data analysis and visualization processes for program registrations. We have a desire to focus specifically on our approaches for understanding both internal and external datasets. In this project, the goal is to use data analysis methods to help our organization derive insights and make more informed decisions.

We would like to collaborate with students to analyze our raw datasets. This will involve several different steps for the students, including:

• Familiarizing themselves with our project’s objectives and analysis procedures.
• Checking for and correcting inconsistencies in the dataset.
• Calculating important results and plotting data in graphs and charts.
• Performing relevant statistical tests to determine the significance of results.
• Leveraging existing tools such as Monday.com

Bonus steps in the process would also include:

• Recommending future areas of programs.

By the end of the project, students should demonstrate:

1. Assist organizations in preparing existing data for analysis. Students may perform data quality checks, data cleaning, and data transformation exercises on existing data to make the data ready for analysis by the organization.
2. Assist organizations in data analysis. Using organizational data, students may conduct data analysis and design data analytics reports to be delivered to the firm.
3. Create dashboards and reports to visualize the data and easy decision-making and insights.

Bonus steps would include:

• Recommending topics for future programs.

Final deliverables should include

• A final report including recommendations. (Optional)
• A presentation. (Mandatory)

Students will connect directly with us for mentorship throughout the project including a dedicated communication Slack channel, onboarding training and team huddles. We will be able to provide answers to questions such as:

• Our projects
• Current understanding of our field of industry
• Input on choices, problems or anything else the students might encounter.