About This Learning Path

The Data Analyst Academy develops practical, end-to-end analytics capability with a clear progression from statistics and Python to SQL and Alteryx. You begin by strengthening statistical foundations, probability, distributions, and hypothesis testing so you can reason about uncertainty and design sound analyses. Next, you build in-demand Python skills for cleaning and transforming data, structuring code with functions and loops, working with NumPy and pandas, visualizing with Matplotlib, and connecting to live data sources. A hands-on project automates vineyard frost-risk monitoring to show how scripting delivers real operational value. You then move into machine learning, applying regression, decision trees, clustering, feature engineering, and advanced classification to real business questions, including pricing strategy and credit risk prediction. Finally, you round out a professional toolkit with SQL for querying, joining, aggregating, and manipulating data, and Alteryx for repeatable, auditable workflows and spatial analysis. Kubicle's applied learning model emphasizes practical, project-based exercises, so you finish able to turn messy datasets into clear insight and measurable impact for finance, operations, or consulting teams.