1The Questions
SQL & Power BI
Data Analyst
Query real databases with SQL and turn the answers into Power BI dashboards people actually read.
- SQL queries
- Joins & aggregates
- Data modelling
- Power BI dashboards
From your first query to production pipelines: SQL and Power BI to ask questions, Excel and Tableau to tell the story, Python to automate it, and data engineering to make it run every day.
one continuous road
at a working pace
full progression
The road
Every stage is taught live by a working engineer — and every stage assumes only the one before it.
1The Questions
Data Analyst
Query real databases with SQL and turn the answers into Power BI dashboards people actually read.
Why this stage
“Every analysis starts with a question and a query. Learn to ask both properly.”
2The Storytelling
Business Intelligence Analyst
Advanced Excel for the daily grind and Tableau for the visualisations that change decisions.
Why this stage
“The business runs on Excel and decides on charts. Speak the language of the room.”
3The Automation
Analytics Engineer
Syntax to scripts that do real work — files, APIs, data and the automation you'll reuse at your desk.
Why this stage
“The analyst who automates their reports stops doing them by hand — and starts doing analysis.”
4The Pipelines
Data Engineer
Move from consuming data to producing it: pipelines, warehouses, orchestration and data quality.
Why this stage
“Dashboards are only as good as the pipelines behind them. Build the part everyone depends on.”
Destination
Data Engineer
The road is mapped and the first batch is live. Take the first step — or talk to us and find out which stage you're already standing on.
Your roadmap
6–9 monthsSQL / Power BI
The Questions · 2 months
Excel / Tableau
The Storytelling · 1–2 months
Python
The Automation · 2–3 months
Data Engineering
The Pipelines · 2–3 months
Data Engineer
where this road ends