Author: Jose S
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…
Analytics, BI, data science, and more: what is the difference?
BI, analytics, data science, data engineering, and AI share tools but not goals. Plain definitions, how work hands off, and how to frame projects without buzzword soup.
