All Articles & Tutorials
Explore practical guides, step-by-step masterclasses, and foundational definitions across AI, SQL, and data systems — written in plain, human English.
All articles
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.
- 4 min read
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…
How to choose where to store your data: a database, a warehouse, or a lake
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…
- 5 min read
Which programming language to learn for data analytics: start with SQL
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…
