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What is Git? A straightforward introduction for analytics work
Git tracks versions so teams stop emailing final_final.sql. Repos, commits, branches, remotes, and a minimal daily loop for analysts and analytics engineers.
What is data literacy and why it matters
Data literacy is finding, reading, questioning, and using data to decide, including knowing when the data is weak. A practical ladder for readers, builders, and leaders who live…
Data storage options: pick by question, not fashion
App DB, warehouse, lake, mart, spreadsheet: each stores data for a different job. A plain map of the stack, tradeoffs, and a decision table so you stop buying…
Programming languages for analytics: SQL first, then depth
Which language should analysts learn? Start with SQL, add Python or R for heavier work, and treat BI calculation languages as real production logic. A practical map without…
Data jobs demystified: what each role actually does
Titles blur. Analyst, analytics engineer, BI, data scientist, data engineer, and ML engineer optimize for different questions and outputs. A plain map for hiring, career choices, and less…
