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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.
10 questions
Metrics and KPI Design
Defining, selecting, and monitoring the metrics that measure a business or product. Covers north-star and supporting metrics, guardrails, metric decomposition, segmentation, and operational monitoring and alerting. Emphasizes choosing metrics that are actionable and hard to game.
0 questions