A Gentle Reminder to Question the Underlying Data

When you get data, it is important to understand how it was collected, what it means, and whether what you are measuring actually matters. This talk will highlight some real world data questions to help you think about the story underneath the data.

Mirror, Flashlight, & Roadmap... How Institutions of Higher Education Use Data to Advance Student Outcomes

How Institutions of Higher Education Use Data to Advance Student Outcomes

'Tis the Season for Standardized Data Science Project Structures

As a holiday present from us to you, please enjoy this cookie cutter project template

Algorithms Are People Too

Maligning algorithms misses the entire reason why they are utilized in the first place

Data Science as a Flashlight

How Predictive Models Can Guide the Way to Student Success

Lessons Learned from Building a Silly Twitter Bot

Why Have Side Projects? Whenever I am asked the best ways to learn data science, I always encourage folks to find a problem to solve that is interesting and unrelated to work. In other words, a side project. The rationale for this advice is simple: learning new tech skills is difficult. Therefore, you should tackle problems that bring as much joy as possible while also avoiding email entanglements or late-night Slack boondoggles.

The Role of Data Science in Higher Ed and What You Can Do at Your Institution

How are you using data to leverage more growth in your institution…and how can you do it better?

Content Optimization with Multi-Arm Bandits & How to Title Presentations

Multi-arm bandits and content optimization

The Modal Institution of Higher Education

I have enjoyed NPR’s Planet Money podcast for many years. They always have an interesting perspective on matters foreign and domestic; macro and micro; trivial and critical. It’s also a space that doesn’t shy away from wonky, data-filled policy debates. A recent episode, The Modal American, talked listeners through a full analytic pipeline including the research question, an explanation of the methodology and the results. Planet Money’s specific research question was whether they could aggregate IPUMS data (Go Gophers!

Why I’m Starting a Blog

Welcome. I’m so glad you could make it. If I had a dollar for every person whose told me I should start a blog, I wouldn’t have very much money. For the sake of conversation, let’s call that value zero. Just because there’s a lack of overt market demand, I went ahead anyway. Here’s why: The intersection of higher education and data science is still relatively underexplored. Colleges and universities have a multi-generational responsibility to society and should be held in the public trust.