Data
Skills
Data Engineering
Defining Data IntuitionRyan proposes the following definition for data intuition: a resilience to misleading data and analyses.
Quick Guide: Calculate Cohort Retention Analysis with SQLHuy provides a step-by-step walk-through of how to generate cohort retention by month using two source tables - users and activities.
Practical SQL for Data AnalysisHaki 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 SpeedCassie 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.
Building high-performing Research and Data Science teams with clear career pathsKaren describes the process and results of building a career ladder for the research, analytics, and data science team at Intercom. The IC track covers 6 levels and 6 skill groups, and the manager track covers 2 levels with 5 skill groups.
Data Science Career Path & ProgressionJulien explains the 4 skill groups (he calls them data axes) of data career paths: • Data axis • Engineering axis • Business axis • Product axis
Roadmap to Learn SQLArif provides a list of the key concepts that you'll need to learn to learn SQL, along with the order to learn them in.
Kickstarter's Engineering & Data Science Career LaddersKickstarter's approach has fewer levels and uses textual descriptions rather than a matrix of skills.
The Startup Founder’s Guide to AnalyticsTristan 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)
