Loading…
Loading…
Official Curriculum Brochure
A practical program that teaches Data and Business Analysts how to combine AI with analytics across the analytics lifecycle, from data preparation and exploration to visualization, insight generation, forecasting and executive storytelling. It uses AI as an analytical copilot while maintaining data quality, validation and responsible decision-making.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
AI, Generative AI, ML, AI agents and how AI is changing the analyst role.
Structured prompt frameworks for analysis, reporting, SQL and executive summaries.
Business context, metric definitions, data dictionaries, schemas and analytical constraints.
Hallucinations, data privacy, bias, validation, governance, explainability and security.
Data cleaning, transformation, missing values, duplicates, outliers, exploratory analysis and pattern detection.
Natural language to SQL, query explanation, debugging, optimization; Python and DAX assistance.
Data modeling, dashboard design, visualization selection, report summaries and natural-language exploration.
Trend, variance, segmentation, correlation, driver analysis, anomaly investigation and hypothesis generation.
Forecasting, trend analysis, scenarios, sensitivity analysis and predictive analytics with validation.
Insight narratives, executive summaries, recommendations; redesign the analyst workflow around AI copilots.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.