Data Analytics Projects
Partner with the RBDC to tackle business-specific problems using data and data analytics projects to provide insights through off-site consulting, on-site internships, and employment pipelines.
Projects are done on a tri-annual basis. The 13-week projects start in January, April, and September. The RBDC is limited in the number of projects that it can accept, so reach out now to ensure your project can be completed. Please contact us to learn more or to discuss a potential project.
Advanced Project - $5,000
- Student teams of 4-6 that work ~10 hours a week per member with a paid technical project manager and faculty support.
- Upperclassmen with extensive training in data science and statistics will apply the skills they’ve learned to solve real-world problems.
Specialized Project - $3,500
- Flexible scheduling.
- Single student that works a minimum of 10 hours a week that has faculty mentored support.
- Each project features a competitively selected senior student with specialized data science skills to deliver objectives and meet timeframe requirements.
Exploratory Project
- Student teams of 4-8 that work 1-3 hours a week per member.
- Dedicated student project manager with previous experience.
- Data science students have the opportunity to work with real-world data in a learning environment and present meaningful insights to companies.
J Hathaway
Data Science Professor at BYU-Idaho
Experienced Data Science with a demonstrated history of working in the higher education and industry. Skilled in Statistical Modeling, Analytics, Numerical Simulation, and data visualization. I am currently at Brigham Young University – Idaho in the Mathematics department as the lead of our data science program. I love the programming language R and am the lead teacher of our key data science classes at BYU-I.
Project Details
The advanced projects feature a combination of faculty expertise, a technical project manager, and capable students. By collaborating with guided student projects, you are able to leverage data scientists and analysts at a fraction of the cost of hiring an employee. These projects can complement your existing workflows and business objectives. With multiple projects throughout the year, we can help you to find the graduating talent that is the perfect fit your team.
Each project (exploratory and advanced) features a competitively selected student technical project manager who contributes both data analytics skills and project management abilities to deliver objectives and meet timeframe requirements. The exploratory projects are smaller in scope. The student teams work six to ten hours per week (total) for a period of twelve weeks. Consulting-level projects are more complex with three to five upper-class students contributing about eight hours per week each for thirteen weeks.
Past Projects
Past clients have engaged the data science students in a variety of projects. Below are some examples of past work.
Advanced Projects
Westmark Credit Union
Westmark Credit Union – Consulting Class
Students supported the analytics team in evaluating customer retention, transition among clients’ credit offerings, credit card profitability, and customer demographics. The R programming language was used to develop final reports with guidance on preferred credit offerings among those evaluated.
Good2Go
Good2Go – Consulting Class
Student consulting teams have worked with Good2Go to develop store placement models, forecasting models to predict sales for the next quarter, analyze and report on each of the Good2Go store locations’ quality based on customer feedback, and develop dashboards that displayed optimal locations for new Good2Go stores.
Idaho-Dunes RV
Idaho-Dunes RV – Consulting Class
BYU-I students found weather forecast data and used Idaho-Dunes RV daily use data to build a predictive model of nightly camp usage based on regional weather forecasts to help the owner manage employee scheduling and camp setup based on predicted camp usage. All work was done using the R programming language.
Idaho Steel
Idaho Steel – Consulting Class
Students developed sales and HR employee management dashboards using PowerBI and Shiny. BYU-I provided the client with detailed SQL statements to pull and format data for use in dashboards. Final PowerBI dashboards were then internalized into company use with a BYU-I intern the following semester.
Fortune 500 Energy Company
Fortune 500 Energy Company – Consulting Class
Students completed an exploratory data discover to find missing data in the client’s decision pipeline. R-Studio Shiny dashboards were developed and provided to the client for use. Gigabytes of data were found, processed, and formatted for use by the client.
Exploratory Projects
Henry Schein
Henry Schein – Society Project
BYU-I students worked with client to build a dashboard that summarized survey results from a dental survey used over the United States. Spatial maps and data interactions were developed for the client to explore the survey. The R-Studio Shiny package was used to deliver the dashboard.
Imagine Learning
Imagine Learning – Society Project
Found and processed data from over 2000 US school district websites to help client understand the performance and contact information of the school districts. The R programming language was used for web-scraping and data manipulation.
Idaho-Dunes RV
Idaho-Dunes RV – Society Project
BYU-I students found weather forecast data and used Idaho-Dunes RV daily use data to build a predictive model of nightly camp usage based on regional weather forecasts to help the owner manage employee scheduling and camp setup based on predicted camp usage. All work was done using the R programming language.
Past Clients
