Big Data Capstone Project - Fall 2020
Timeline
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November 7, 2020Experience start
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January 16, 2021Experience end
Categories
Data analysis Market research Sales strategySkills
business analytics storytelling and data visualization data analysis business and analytical problem framing model development deployment and documentationIn the final course of the Advanced Data Science and Predictive Analytics Certificate, students spend 8 weeks creating an analytics solution/model for your organization.
This capstone project includes analysis of a real-life scenario, including business problem framing, translating to an analytical problem statement, data collection, preparation, integrating, modelling and analyzing and will result in a final report/ presentation that outlines recommendations and a solution deployment plan.
*We recommend that the datasets are at least 100k+ rows in size. Furthermore, the datasets do not have to be ‘clean’ or complete (in fact, we would encourage datasets to be as realistic as possible in order to allow students to conduct the appropriate data preparation steps).
The datasets do not need to be combined or joined beforehand. For example, you may share several separate datasets (for example as .CSVs) that contain customer demographic data, transactional data, and product data. Students will be responsible for determining how to integrate these datasets, both to support their learning objectives and to reduce the data preparation work from your end.
This project can encompass a wide range of topics that require data-driven decision making.
Deliverables may be shared in the form of:
- Project Proposal
- Sprint 1: Data Exploration, Data Preparation and Modelling
- Final Project Report
- Presentation
Project timeline
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November 7, 2020Experience start
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January 16, 2021Experience end
Project Examples
Your organization will need to provide relevant datasets*, background information, and a high-level business question, opportunity, or challenge. Although it is the responsibility of the students to develop an appropriate analytical solution to the business problem you provide, it would be helpful if you select a business question, opportunity, or challenge is amendable to a data-driven solution (to the best of your knowledge)
Project Examples
Students can create data analytics solutions and models to assist with:
- Forecasting (sales, demand, market conditions)
- Developing a dashboard or reporting solution to provide actionable insights
- Improving customer retention
- Quantifying Customer Lifetime Value
- Predicting various events of interest (fraud, misdiagnosis)
- Getting customers to purchase more premium (up-sell) products
- Getting customers to purchase across multiple categories (cross-sell)
- Finding the best customers for a Direct Marketing initiative
- Customer segmentation (behavioural or transactional)
- Social Network Analysis (understand influencers, customer relations)
- Understanding customer sentiment and what they are talking about (topic modeling)
- Recommender systems for various items (movies, products, etc.)
- Market Basket Analysis to understand which items are often purchased together
- Predicting or forecasting a numeric value of interest (home prices, population)
- Visualize buyers and buyers habits over time
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.
Commit to providing a dedicated contact to meet with students at the indicated milestone check in dates
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.
Timeline
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November 7, 2020Experience start
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January 16, 2021Experience end