Big Data Business Analytics
Timeline
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June 19, 2017Experience start
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September 6, 2017Experience end
General
- Dates set by experience
- Learners self-assign
Preferred companies
- 4 projects wanted
- Anywhere
- Academic experience
- Any company type
- Any industries
Categories
Skills
Project timeline
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June 19, 2017Experience start
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September 6, 2017Experience end
Overview
- Learner goals and capabilities
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Working in groups, graduate students in the Business Analytics program will carry out an analytics project from initial requirements analysis to final implementation by analyzing big data using machine learning algorithms and/or statistical models.
- Expected outcomes and deliverables
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Students will conduct an identification of problems, data sets, data pre-processing, building data mining/statistical models, and validation. They will provide a formal presentation of results at the end of the quarter and provide a 15+ page document along with their presentation slides.
Project Examples
Working in groups, graduate students in the Business Analytics program will carry out an analytics project from initial requirements analysis to final implementation by analyzing big data using machine learning algorithms and/or statistical models.
Past project examples include:
- Data analysis with Alaskan Airlines
- Data analysis of King County (WA) real estate transactions
- Home loan analysis using Freddie Mac data
- Marketing analysis for Hawkeye Channel
- Salary analysis for Payscale
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Organization size of 500+ employees
Allocate one hour per week to answering student questions and providing information as needed (by email or phone) to support their work
Provide any data the students will require for their analyses
Timeline
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June 19, 2017Experience start
-
September 6, 2017Experience end