The complete data career ladder in one track: Excel analysis, analyst thinking, SQL, dashboards and BI, practical statistics, and Python plus career strategy — built on Pakistani examples (PKR datasets, Karachi shops, the local job market) and a five-level ladder from data entry and junior analyst to analyst, senior analyst or BI developer, head of data, and CDO.
Start where every analyst starts: Excel done properly. Clean data habits with real tables, formulas that scale (SUMIFS,
Before tools, thinking: asking the business question first, telling metrics from vanity numbers, spotting averages that
The language of every data team: what databases actually are, SELECT-WHERE-ORDER BY basics, aggregations and GROUP BY, j
Make numbers visible and trusted: dashboard design principles and the 5-second rule, Power BI basics on the free version
Statistics as plain thinking: distributions by intuition, why correlation is not causation, statistical significance in
The ladder from spreadsheets to leadership: when Python beats Excel, pandas in one conceptual hour, automating boring re
The plumbing behind every dashboard: what data engineering is (and how it differs from analysis), databases beyond Excel
The analyst in the AI era: what machine learning actually does in plain language, supervised versus unsupervised learnin
No specific assessments required for this track.
Excel users, analysts-in-waiting, graduates who want data careers