What you'll learn in this program
Program modules
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SQL for analytics
Aggregations, joins, window functions, CTEs, and query optimization. Working with date/time data, handling nulls, and writing maintainable queries.
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Metrics and KPIs
Defining business metrics, understanding trade-offs between different measurements, calculating customer lifetime value, cohort analysis, and funnel metrics.
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Tableau development
Connecting to data sources, building worksheets and dashboards, parameters and filters, calculated fields, LOD expressions, and publishing to Tableau Server.
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Power BI mastery
Data modeling in Power BI, DAX formulas, relationships and cardinality, Power Query transformations, custom visuals, and report distribution.
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Dashboard design principles
Visual hierarchy, color theory, interactivity patterns, mobile responsiveness, and accessibility. Critique sessions using real dashboard examples.
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Stakeholder communication
Presenting findings, creating executive summaries, documentation practices, and gathering requirements. Final presentation to simulated business leaders.
How this program works
Effective business intelligence requires technical skills and business acumen. This program develops both through projects that mirror real organizational challenges.
You start by learning how businesses measure success. Revenue metrics, customer acquisition costs, churn rates, and operational efficiency indicators become familiar territory. Then you build the technical skills to calculate, visualize, and communicate these metrics effectively.
Technical and analytical training
SQL forms the foundation. You will write queries that aggregate millions of rows, join multiple tables efficiently, and calculate complex metrics like cohort retention. Window functions, CTEs, and subqueries become tools you reach for instinctively.
Visualization platforms get extensive coverage. Tableau and Power BI lessons progress from basic charts to interactive dashboards with drill-down capabilities, filters, and calculated fields. You learn when to use each chart type and how to design for different audiences.
Stakeholder management receives attention too. How do you present technical findings to non-technical executives? What level of detail do different roles need? Mock presentations help you practice translating data into actionable insights.