Power BI, Tableau, SQL and Python for analysis. Turn raw data into business decisions.
By the end of the programme, you will ship real deliverables.
Complex joins, window functions, and performance-aware SQL.
Dashboards, DAX, calculated fields, and production-quality reports.
pandas, matplotlib, statistics, and reproducible notebooks.
Structuring a finding into a decision-grade narrative.
Hypothesis testing, regression, and the pitfalls analysts hit.
Three production-quality dashboards and a written analysis.
Each phase builds on the last. Live instruction with reviewable deliverables.
Complex queries, joins, window functions, CTEs, and query optimisation.
Data modelling, DAX, measures, relationships, and report design.
Calculations, parameters, level-of-detail, and dashboard interactions.
pandas, matplotlib, numpy, and Jupyter for reproducible analysis.
Practical statistics, A/B testing, regression, and common pitfalls.
Capstone analysis with three dashboards and a written narrative.
Business analyst moving from spreadsheets to SQL-backed reporting.
Graduate targeting a business or data analyst position.
Ops or support person wanting a more analytical, better-paid track.
ETL pipelines, Apache Spark, Databricks, Kafka and SQL. A specialised, well-paid track.
Python, machine learning, deep learning, TensorFlow and LLM fundamentals. Project-based.
React, Figma, CSS, UX research and prototyping. Build considered, user-centred products.
A free demo class with the instructor. If it is not a fit, you owe nothing.