Career path26 weeks

Professional Data Analytics

Turn raw data into decisions

Follow this 26-week path to master analyst-grade Excel, SQL, Python, Power BI, and AI-assisted workflows. Mix Learn lessons (structured) with Notes tools (deep dives). Roadmap milestones below show where you stand.

Phase 1 · Weeks 1–8

Foundations

Build the core spreadsheet, querying, and programming foundations of analytics.

LearnNotes
Available

Excel Fundamentals

Reference & Formulas — master the interface, relative vs absolute references, and the five formulas every analyst uses

12 min read

LearnComing Soon in Notes
Coming Soon

SQL Foundations

Query, join and aggregate relational data

TBD

LearnComing Soon in Notes
Coming Soon

Python Basics for Data

Pandas, NumPy, and data cleaning fundamentals

TBD

Continue to Tools & Applications

Phase 2 · Weeks 9–18

Tools & Applications

Apply analytical logic, visual storytelling, and transformation workflows.

LearnNotes
Available

Excel Logic & Lookups

IF, nested IF, XLOOKUP — conditional logic without drowning in nesting

14 min read

LearnComing Soon in Notes
Coming Soon

Dashboards & Visualisation

Power BI and Tableau storytelling — interactive visuals without touching a formula

TBD

LearnComing Soon in Notes
Coming Soon

Data Cleaning & Transformation

Real-world messy data → analysis-ready datasets

TBD

Continue to Advanced & Real-World

Phase 3 · Weeks 19–26

Advanced & Real-World

Scale your analysis, strengthen statistical judgment, and bring the skills together.

LearnNotes
Available

Excel at Scale

INDEX-MATCH, Power Query, automated data pipelines — dashboards that don't require touching a formula

16 min read

LearnComing Soon in Notes
Coming Soon

Statistics for Analytics

Distributions, tests, and significance — the math behind the insights

TBD

Project
Coming Soon

Capstone Project

Apply Excel, SQL, Python, and dashboards to a real dataset from start to presentation

4 weeks

Finished all available modules?

Join the community for live Q&A and peer projects.

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