2 slides for a NFL data analytics portfolio project First slide "NFL Predictive Model Data Analyst Project This project demonstrates how I solve real a problem from start to finish. To that end, I clean and make sense of raw, messy data. It uses an interesting example to explore forecasting future events. The model lives in an interactive application that anyone can use. It will also show how I work my way up from numbers to clear stories, decision and answers. Each week, I break down a specific football topic through the lens of a practical data analytics concept and corresponding tools. This project assumes you know the basics of football but should still be approachable if you don't I start the season with simpler more foundational concepts and work my way up in complexity. Earlier weeks deal with understanding stats and their relationship to the model. Later week dive deeper into critique of the model itself and tradeoffs of more advanced statistics. Finally, I show how to build an interactive dashboard and connect these technical methods and iterating on the model treating it like a real business problem. " 2nd slide 2 coloumns ""
2 slides for a NFL data analytics portfolio project
First slide "NFL Predictive Model Data Analyst Project
This project demonstrates how I solve real a problem from
start to finish. To that end, I clean and make sense of raw,
messy data. It uses an interesting example to explore
forecasting future events. The model lives in an interactive
application that anyone can use. It will also show how I work
my way up from numbers to clear stories, decision and
answers.
Each week, I break down a specific football topic through the
lens of a practical data analytics concept and corresponding
tools. This project assumes you know the basics of football but
should still be approachable if you don't I start the season
with simpler more foundational concepts and work my way up
in complexity. Earlier weeks deal with understanding stats and
their relationship to the model. Later week dive deeper into
critique of the model itself and tradeoffs of more advanced
statistics. Finally, I show how to build an interactive dashboard
and connect these technical methods and iterating on the
model treating it like a real business problem. "
2nd slide 2 coloumns
""
Created using ChatSlide
This project focuses on developing an NFL predictive model by cleaning raw data using Excel, Power BI, and SQL. It aims to enhance efficiency and derive expected-value metrics, while forecasting game outcomes through Python, Pandas, and machine learning. Additionally, it includes creating an interactive application that presents predictions, explanations, and visuals, validated through metrics like MAE and variance, ultimately translating insights into actionable business decisions.