Visualization for Data Analytics
General
- Post-graduate; 2nd year
- 16 learners; teams of 4
- 50 hours per learner
- Dates set by experience
- Educators assign learners to projects
Preferred companies
- 1/1 project matches
- Anywhere
- Academic experience
- Any company type
- Any industries
Categories
Skills
Project timeline
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March 8, 2024Experience start
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April 22, 2024Experience end
Overview
- Details
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A class of student-consultants will spend an entire semester performing a thorough investigation of data sets to tackle a managerial question. Tools such as Tableau and Python packages will be leveraged for data modeling, machine learning, and visualization.
Based on the information that you provide, groups will develop predictive models and managerial insights into key aspects of your organization. Each team will propose solutions and implementation strategies to improve your decision-making processes and outcomes.
- Learner skills
- Data pipelines, Python (programming language), Machine learning, Data modeling, Consulting, Predictive modeling, Tableau (business intelligence software), Decision making
- Deliverables
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Final deliverables will include:
- A slide deck with conclusions and recommendations for a 15 to 30-minute consulting presentation.
- A written report with details of the data pipeline, direction for how to use and interpretation for the dashboard.
- All applicable source code and dashboard.
Project Examples
Students may work with the company on any of the following topics:
- Interactive Dashboard for management level, monitoring level or working level.
- Identify and interpret informative patterns and trends in data.
- Select the appropriate type of visualization to answer an organizational question.
- Create effective visualizations representing the relationships contained in complex data sets for both qualitative and quantitative data.
- Incorporate data visualization techniques in presentation and reports.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.
Specific data to be provided by company
Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.