What’s Missing? Solving the Missing Values Dilemma

Struggling with missing data? We were too! We have had our fair share of encountering missing data (on homework assignments and practicum project). As my team worked on our practicum project, missing values seemed to be a larger part of the data exploration phase of the model building process than Continue reading What’s Missing? Solving the Missing Values Dilemma

Blood Sugar Analysis App

The ability for organizations to data mine and address a wide range of business problems across many industries is a huge asset in terms of ROI. What about big data and analytics helping not only the bottom line but also the general public? What about all the data that envelops Continue reading Blood Sugar Analysis App

Glazed Glory: Taking on the Krispy Kreme Challenge

2400 calories, 12 doughnuts, 5 miles, 1 hour. No, that’s not the beginning of a case interview question, but the slogan of the famous Krispy Kreme Challenge! Around 30 brave students (including a “python” and a “data wizard”) and faculty took on the Krispy Kreme Challenge, participating in the 12th Continue reading Glazed Glory: Taking on the Krispy Kreme Challenge

Getting your hands dirty with Kaggle

Image above is a visualization of Reddit I created using a public Kaggle data set found here, built with Gephi. One lesson I’ve learned over the past 7 months is that the best way to hone your skills within the field of analytics (or data science, or whatever term you wish to Continue reading Getting your hands dirty with Kaggle

Testing an NFL Claim

As I waited for my SAS code for practicum to run, I came across a Super Bowl commercial by the NFL, shown below. The commercial starts with the claim that “9 months after a Super Bowl victory, winning cities see a rise in births.” While it is humorous and easy to Continue reading Testing an NFL Claim