Master advanced Excel functions, pivot tables, and core statistical concepts that form the bedrock of every analyst's toolkit.
Write complex queries to extract, join, and aggregate data from relational databases. Learn window functions, CTEs, and query optimisation.
Dive into Pandas and NumPy to perform powerful data cleaning, manipulation, and exploratory data analysis (EDA) on real-world datasets.
Build interactive dashboards that communicate insights to any stakeholder. Master chart selection, colour theory, and storytelling through data.
Understand the fundamentals of ML and build predictive models for classification and regression tasks using Scikit-learn — with full model evaluation.
Apply every skill to a real end-to-end analytics project. Pair it with resume workshops, mock interviews, and direct referrals to our hiring partners.
