Level up your data science skills with SQL, exploratory data analysis, and machine learning. This intermediate track covers database querying, advanced analytics workflows, and hands-on ML model building — from supervised learning fundamentals to ensemble methods. Includes real-world projects, mentor feedback, and community access.