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Saint Cloud, Minnesota, United States
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Data Mining
Stat 415
This course will introduce to students a variety of data mining techniques (data wrangling & visualization, logistic regression, classification and regression trees, clustering, K-means, time series forecasting, etc.), web scraping, as well as apps creating. Companies that work with our course will set up a project plan and have regular meetings with our students, and our students will collect data, do the data analysis, and draft a final report.
Data Mining
Stat 415
There are three ways a business can increase revenue from a customer perspective; increase the number of times a customer buys (frequency), increase the amount a customer spends during their visit (revenue—also often called upsell) or acquire new customers (acquisition). In this course, students will develop a variety of acquisition models that use customer attributes and past customer spending patterns to predict which customers are most likely to visit your store and make a purchase. An acquisition model helps your business target your offers to the appropriate people to achieve a higher response rate with an acquisition campaign. For example, if 1000 people are targeted to come to your store and 100 of them usually do, a successful acquisition model may increase that rate to 200 customers out of 1000; the statistical model helps target a campaign to customers most likely to respond. This course may also attempt to predict upsell and/or frequency, depending on needs from companies.
Data Mining for Analytics
Stat 615
There are three ways a business can increase revenue from a customer perspective; increase the number of times a customer buys (frequency), increase the amount a customer spends during their visit (revenue—also often called upsell) or acquire new customers (acquisition). In this course, students will develop a variety of acquisition models that use customer attributes and past customer spending patterns to predict which customers are most likely to visit your store and make a purchase. An acquisition model helps your business target your offers to the appropriate people to achieve a higher response rate with an acquisition campaign. For example, if 1000 people are targeted to come to your store and 100 of them usually do, a successful acquisition model may increase that rate to 200 customers out of 1000; the statistical model helps target a campaign to customers most likely to respond. This course may also attempt to predict upsell and/or frequency, depending on needs from companies.