- 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.
- Analytical Excellence Is All about Speed
Cassie provides a nuanced take on the value of speed in data analytics. She also links to other articles in this multi-article series on what it takes to be a professional analyst, which cover: software skills; handling lots of data with ease; immunity to data science bias; understanding the career; refusing to be a data charlatan; resistance to confirmation bias; realistic expectations of data; knowing how to add value; and thinking differently about time.
- 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)