Recently Published
Modeling Success in the NFL
All NFL teams aim for success, but how can they enhance their chances of achieving it?
Football Analysis - Manchester United vs Tottenham Hotspur 08-19-2023
Analysis of the Premier League match between Manchester United vs Tottenham Hotspur on 08-19-2023
Week 12 Data Dive - Time Based Data
The purpose of this week’s data dive is to explore the time aspect of data, or the time aspect of some other related dataset.
Week 11 Data Dive - GLMs (Part 2)
The purpose of this week's data dive is to expand on linear modeling and generalized linear models.
Week 10 Data Dive - GLMs
The purpose of this week’s data dive is for you to attempt building a generalized linear model, or to make adjustments to variables represented in a model.
Week 9 Data Dive - Regression Diagnostics
The purpose of this week’s data dive is for you to think critically about interpreting and diagnosing regression models.
Week 8 Data Dive - Regression Modeling
The purpose of this week's data dive is for you to get experience running ANOVA tests and building regression models.
Week 7 | Data Dive — Hypothesis Testing
The purpose of this week's data dive is to explore hypothesis testing with the dataset.
Week 6 Data Dive - Confidence Intervals
NFL Standings Analysis
Week 5 Data Dive - Documentation
The purpose of this week's data dive is for you to think critically about the importance of documenting your model, but also the importance of referencing the documentation for the data you're using.
Week 4 Data Dive - Sampling and Drawing Conclusions
The purpose of this week’s data dive is for you to think critically about what might go wrong when it comes time to make conclusions about your data.
Week 3 Data Dive - Group-by and Probabilities
This week, we will look individual rows of data, and groups of them. For each row/group, we'll investigate the probability that row (or group) should occur, given the data.
Week 2 | Data Dive -- Summaries
The purpose of this week's data dive is for you to learn a bit more about your data by running summary statistics and basic plots.