NBA Data Analytics Project
As a data analyst and team leader, our team sought out public historical data on NBA player statistics to solve a business problem: how to create the most profitable team. After evaluating the data set, the team recommended utilizing analysis gathered from statistical analysis methods in the form of hierarchical linear models and binary models in R, Excel, and Tableau to visualize and communicate which attributes of players' histories can lead to strategic acquisition and positively impact the profitability of a team.
Analytics Report
After cleaning the data set taken from Kaggle and analyzing it using statistical methods, our team was able to create a wholistic report telling a story with the analyses and discoveries made with the dataset.