Data Science & Analytics Topics
Statistical analysis, data analytics, big data technologies, and data visualization. Covers statistical methods, exploratory analysis, and data storytelling.
SQL for Data Analysis
Writing SQL to answer analytical and business questions. Covers filtering, joins, grouping and aggregation, subqueries, CTEs, and translating an ambiguous request into a correct query. Includes spreadsheet-to-SQL fluency for everyday analyst workflows.
Data Visualization and Dashboard Design
Designing visuals and dashboards that communicate clearly. Covers chart-type selection, encoding choices, dashboard layout and hierarchy, avoiding misleading visuals, and designing for the intended audience and decision. Emphasizes effectiveness over decoration.
Data Storytelling and Insight Communication
Turning analysis into a persuasive, decision-ready narrative for non-technical stakeholders. Covers structuring an insight, translating statistical results into plain language, framing recommendations and trade-offs, and tailoring the message to the audience. Emphasizes driving action, not just presenting numbers.