Building an Analytics Department

# Building an Analytics Department ## Python Example: Department Structure ```python import pandas as pd import numpy as np # Define analytics department roles roles = pd.DataFrame({ 'role': ['Director of Analytics', 'Senior Analyst', 'Data Scientist', 'Data Engineer', 'Video Analyst'], 'focus_area': ['Strategy & Leadership', 'Player Evaluation', 'Predictive Modeling', 'Data Infrastructure', 'Film Analysis'], 'required_skills': ['Leadership, Football IQ', 'Statistics, Scouting', 'ML, Python/R', 'SQL, ETL', 'Football Knowledge, Video'] }) print(roles) ``` ## R Example: Resource Allocation ```r # Analytics department budget allocation budget_allocation <- data.frame( category = c("Personnel", "Software/Tools", "Hardware", "Data Sources", "Training"), percentage = c(60, 15, 10, 10, 5), priority = c(1, 2, 3, 3, 4) ) library(ggplot2) ggplot(budget_allocation, aes(x = reorder(category, -percentage), y = percentage, fill = factor(priority))) + geom_bar(stat = "identity") + labs(title = "Analytics Department Budget Allocation", x = "Category", y = "Percentage (%)") ```