- Practical SQL for Data Analysis
Haki provides an in-depth guide to using SQL for fast and efficient data analysis. He dives into specific tactics including descriptive statistics, subtotals, pivot tables, running and cumulative aggregation, linear regressions, interpolations, and binning.
- The Startup Founder’s Guide to Analytics
Tristan walks you through how your startup should be doing analytics at five different stages: Founding Stage (0 to 10 employees) Very Early Stage (10 to 20 employees) Early Stage (20 to 50 employees) Mid-Stage (50 to 150 employees) Growth Stage (150 to 500 employees)