Sports Track
Practice realistic sports business and analytics work through simulations, courses, and projects. Build experience with ticketing, sponsorship, fan data, and front-office decisions.
Who this is for
Built for aspiring and early-career professionals interested in front-office, ticketing, sponsorship, fan engagement, or team analytics work. No prior sports-industry experience is required.
What you'll learn
Sports-business decisions
Practice realistic choices involving ticketing, sponsorship, fan engagement, and front-office priorities.
Sports data fluency
Work with common datasets and metrics, then decide which findings are strong enough to use.
Clear recommendations
Turn analysis into a focused recommendation supported by the evidence a stakeholder needs.
Stronger judgment
Make a decision, explain your reasoning, and use coach feedback to improve your next attempt.
The sports catalog
Practice realistic tasks and get AI-coach feedback on your decisions and deliverables.
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Sports Track
Practice realistic sports business and analytics work through simulations, courses, and projects. Build experience with ticketing, sponsorship, fan data, and front-office decisions.
19 simulations, courses, and projects live today.
Who this is for
Built for aspiring and early-career professionals interested in front-office, ticketing, sponsorship, fan engagement, or team analytics work. No prior sports-industry experience is required.
What you'll learn
Sports-business decisions
Practice realistic choices involving ticketing, sponsorship, fan engagement, and front-office priorities.
Sports data fluency
Work with common datasets and metrics, then decide which findings are strong enough to use.
Clear recommendations
Turn analysis into a focused recommendation supported by the evidence a stakeholder needs.
Stronger judgment
Make a decision, explain your reasoning, and use coach feedback to improve your next attempt.
The sports catalog
Practice realistic tasks and get AI-coach feedback on your decisions and deliverables.
This course teaches advanced database techniques focused on basketball analytics, covering complex joins, subqueries, and CTEs using real player and team data. Students learn to build sophisticated queries for ranking players, analyzing team performance, tracking player development, and calculating advanced basketball metrics like clutch performance and efficiency comparisons.
This course provides foundational skills in Structured Query Language (SQL). Students learn database design, querying, and manipulation, gaining hands-on experience in data retrieval and analysis. Ideal for beginners, this course prepares learners for roles in data analysis, database management, and software development.
This is a course focused exclusively on basketball data analysis using sophisticated database techniques including window functions for player rankings, views for performance dashboards, triggers for automated stat tracking, and advanced table design with proper constraints and indexes. Students master data type conversion for handling diverse basketball metrics, transaction management for reliable data updates, and creating robust basketball databases that support real-time analytics.
This is a course focused exclusively on baseball data analysis using sophisticated database techniques including window functions for player rankings, views for performance dashboards, triggers for automated stat tracking, and advanced table design with proper constraints and indexes. Students master data type conversion for handling diverse baseball metrics, transaction management for reliable data updates, and creating robust baseball databases that support real-time analytics.
This course provides foundational skills in Structured Query Language (SQL). Students learn database design, querying, and manipulation, gaining hands-on experience in data retrieval and analysis. Ideal for beginners, this course prepares learners for roles in data analysis, database management, and software development.
This course provides foundational skills in Structured Query Language (SQL). Students learn database design, querying, and manipulation, gaining hands-on experience in data retrieval and analysis. Ideal for beginners, this course prepares learners for roles in data analysis, database management, and software development.
This course builds upon foundational SQL skills to master advanced querying techniques specifically for soccer data analysis. Students learn complex joins, window functions, advanced aggregations, and performance optimization while working with real soccer datasets including player statistics, team performance, and match analytics. This course covers advanced filtering, subqueries, CTEs, and statistical analysis techniques essential for soccer analytics professionals. Perfect for analysts who have basic SQL knowledge and want to advance their soccer data analysis capabilities.
This course builds upon foundational SQL skills to master advanced querying techniques specifically for football data analysis. Students learn complex joins, window functions, advanced aggregations, and performance optimization while working with real NFL datasets including player statistics, team performance, and game analytics. This course covers advanced filtering, subqueries, CTEs, and statistical analysis techniques essential for football analytics professionals. Perfect for analysts who have basic SQL knowledge and want to advance their football data analysis capabilities.
This is a course focused exclusively on soccer data analysis using sophisticated database techniques including window functions for player rankings, views for performance dashboards, triggers for automated stat tracking, and advanced table design with proper constraints and indexes. Students master data type conversion for handling diverse soccer metrics, transaction management for reliable data updates, and creating robust soccer databases that support real-time analytics.
This course builds on intermediate concepts to master sophisticated data analysis techniques. Students learn window functions, performance optimization, real-time analytics, and advanced reporting for complex sports business scenarios. Perfect for analysts ready to tackle enterprise-level sports data challenges and drive strategic business decisions.
This course provides foundational skills in Structured Query Language (SQL). Students learn database design, querying, and manipulation, gaining hands-on experience in data retrieval and analysis. Ideal for beginners, this course prepares learners for roles in data analysis, database management, and software development.
This course advances your SQL skills through sabermetrics and player evaluation. Master complex queries for batting, pitching, and team analysis while calculating advanced baseball metrics used by analysts for competitive advantage.
This course teaches advanced querying techniques using sports business scenarios, covering data types, joins, subqueries, and Common Table Expressions. Students learn to analyze complex datasets like fan segments, venue performance, and revenue patterns while building sophisticated, readable queries for real-world business problems.
This is a course focused exclusively on football data analysis using sophisticated database techniques including window functions for player rankings, views for performance dashboards, triggers for automated stat tracking, and advanced table design with proper constraints and indexes. Students master data type conversion for handling diverse football metrics, transaction management for reliable data updates, and creating robust football databases that support real-time analytics.
This course provides foundational skills in Structured Query Language (SQL). Students learn database design, querying, and manipulation, gaining hands-on experience in data retrieval and analysis. Ideal for beginners, this course prepares learners for roles in data analysis, database management, and software development.