Data Analysis Mastery Path

From your first query to production pipelines: one course covering SQL, Power BI, Advanced Excel and Tableau, then Python to automate the reporting, and data engineering to make it run every day.

one continuous road
3 stages

one continuous road

at a working pace
6–9 months

at a working pace

full progression
Beginner → Professional

full progression

The road

3 stages. One direction.

Every stage is taught live by a working engineer - and every stage assumes only the one before it.

Why this stage

“Every analysis starts with a question, a query and a chart somebody will act on. All four tools in one course, in the order an analyst actually reaches for them.”

2The Automation

Python Programming

Analytics Engineer

Syntax to scripts that do real work - files, APIs, data and the automation you'll reuse at your desk.

  • Core Python
  • Files & APIs
  • Data handling
  • Automation
80 hrsBeginner
Explore course

Why this stage

“The analyst who automates their reports stops doing them by hand - and starts doing analysis.”

3The Pipelines

Data Engineering

Data Engineer

Move from consuming data to producing it: pipelines, warehouses, orchestration and data quality.

  • ETL / ELT
  • Warehousing
  • Orchestration
  • Data quality
Mentored prep · ask us
Talk to us

Why this stage

“Dashboards are only as good as the pipelines behind them. Build the part everyone depends on.”

Destination

Data Engineer

Data Analysis path

Stop browsing.
Start walking.

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.

Begin with Data Analysis Talk to a counsellor

Your roadmap

6–9 months
  • 01

    Data Analysis

    The Toolkit · 2–3 months

  • 02

    Python

    The Automation · 2–3 months

  • 03

    Data Engineering

    The Pipelines · 2–3 months

Data Engineer

where this road ends