Data Science Insights
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Timeline
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March 4, 2019Experience start
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March 12, 2019Introduction to Project
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March 23, 2019Midway Check In
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April 2, 2019Experience end
Timeline
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March 4, 2019Experience start
-
March 12, 2019Introduction to Project
Company gives students a short introduction to the data and their interests. This can be done in person or virtually.
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March 23, 2019Midway Check In
Student teams discuss their progress with their teaching assistant. There may be questions for the company at this stage, which can be answered by Riipen chat or email.
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April 2, 2019Experience end
Experience scope
Categories
Data analysisSkills
data exploration and manipulation storytelling and data visualization data analysisWould you like to translate data into actionable insight? In this project, students will use a data set and questions of interest provided by your organization to perform data exploration, visualization, statistical modelling, and inference to learn from your data. They will provide you with a summary of their findings and insights to answer your questions.
Learners
Each team will prepare a poster presentation summarizing the results of their data explorations and analyses and will deliver a 5 minute presentation to course instructors at a poster fair. Top submissions will be filmed for your review.
The entire class will work in groups of 4 to complete this project, but only the top 2-5 poster presentations will be shared with you for assessment.
Project timeline
-
March 4, 2019Experience start
-
March 12, 2019Introduction to Project
-
March 23, 2019Midway Check In
-
April 2, 2019Experience end
Timeline
-
March 4, 2019Experience start
-
March 12, 2019Introduction to Project
Company gives students a short introduction to the data and their interests. This can be done in person or virtually.
-
March 23, 2019Midway Check In
Student teams discuss their progress with their teaching assistant. There may be questions for the company at this stage, which can be answered by Riipen chat or email.
-
April 2, 2019Experience end
Project Examples
Requirements
Students will use your questions and goals to guide their exploration of the data. Project objectives include, but are not limited to:
- Visualizing the data.
- Finding patterns and anomalies in the data.
- Identifying groups and differences, if they exist.
- Finding/examining relationships.
- Making predictions.
You can provide internal data, or ask that students examine publicly available data that is relevant to your industry/customers. The only project requirement is that you have questions you want answered about the data.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
March 4, 2019Experience start
-
March 12, 2019Introduction to Project
-
March 23, 2019Midway Check In
-
April 2, 2019Experience end
Timeline
-
March 4, 2019Experience start
-
March 12, 2019Introduction to Project
Company gives students a short introduction to the data and their interests. This can be done in person or virtually.
-
March 23, 2019Midway Check In
Student teams discuss their progress with their teaching assistant. There may be questions for the company at this stage, which can be answered by Riipen chat or email.
-
April 2, 2019Experience end