Folks in engineering leadership positions often struggle with data extraction and interpretation. This article covers SQL & DuckDB, statistical tools like summary stats and Bayesian reasoning, promoting self-sufficiency in data analysis. DuckDB serves as a lightweight entry point to SQL, powerful for querying various file formats. SQL proficiency is crucial for decision-making, beyond analysts and BI specialists. Statistical methods are essential for data interpretation, demonstrated with DuckDB for generating summary statistics and analyzing issue tracker data. Tools like histograms and confidence intervals aid in estimating bug resolution times with high confidence. Monte Carlo simulations offer a different perspective on predictions.
https://matt.blwt.io/post/leadership-power-tools-sql-and-statistics/