(Depending on Experience & Location)
(Depending on Experience & Location)
(Depending on Experience & Location)
Overview of data analytics and its importance in business Types of data: structured, unstructured, and semi-structured Role of a Data Analyst, BI Analyst, and Reporting Analyst
Measures of central tendency and dispersion Probability distributions Hypothesis testing and confidence intervals
Writing queries to extract, filter, and aggregate data Understanding database schemas and relationships Advanced SQL queries and joins
Build interactive dashboards using sample business datasets Apply filters, slicers, and KPI tracking for real-time insights Customize visualizations to communicate key metrics effectively
Translate business requirements into actionable dashboards and reports Use Power BI or Tableau for scenario-based BI tasks Analyze datasets and present recommendations
Integrative project combining all skills learned in the course Collect, clean, analyze, visualize, and report on a real-world dataset Present findings and business recommendations
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