After the core: specialise · The Intelligence and Data Roles · path 6 of 13
Data Analyst / Engineer
Collects, cleans and moves data, then turns it into answers and dashboards people can act on.
🔒 This path opens once you pass the final examination. You can read the path guide and module list now.
Choose this path if you want to clean raw records and turn them into reliable reports and dashboards that answer real questions.
Where you see it daily: Sales reports, "most popular" lists, and the dashboards that tell a business what is working.
Builds on: Level 3 (Programming Skills) and Level 5 (Databases and Data).
Start here
Ready
Path guide
Role, outcomes, prerequisites, setup, costs, hardware and workload. Open to everyone.
Entry diagnostic
10 questions on the core lessons this path builds on, with revision links. Optional.
Projects and capstone
4 briefs with starter files, acceptance tests and a saved self-check.
Completion record
Your lessons, quizzes, path test and project self-checks in one place.
What you'll focus on
Data pipelines
Build reliable "pipelines" that pull data from many places, clean it and load it where it's needed, on a schedule or as a live stream.
Tools and ideas: ETL/ELT, Airflow, Prefect, Spark, Flink, Python with pandas
Data warehousing
Run large cloud stores built for analysis, and organise them so questions over huge amounts of data stay fast and affordable.
Tools and ideas: Snowflake, BigQuery, lakehouse design, dbt
Analytics and dashboards
Write advanced SQL, shape data so it's easy to question (dimensional modelling), and present it in interactive dashboards.
Tools and ideas: SQL window functions, dimensional modelling, Tableau, Power BI
What makes this path different
Data work turns a business's records into answers people trust. Unlike building apps, the product is the numbers and the dashboards, so checking that data is complete, correct and fairly presented matters as much as the code.
Modules
Opens after you pass the final examination.
- 1DT1: Python and pandas for messy dataData Analyst / Engineer · Focus area 1: Data pipelines✓
- 2DT2: Data quality you can proveData Analyst / Engineer · Focus area 1: Data pipelines✓
- 3DT3: Building reliable pipelinesData Analyst / Engineer · Focus area 1: Data pipelines✓
- 4DT4: Streams, big data and file formatsData Analyst / Engineer · Focus area 1: Data pipelines✓
- 5DT5: Warehouse foundationsData Analyst / Engineer · Focus area 2: Data warehousing✓
- 6DT6: Dimensional modellingData Analyst / Engineer · Focus area 2: Data warehousing✓
- 7DT7: dbt: transformations as tested codeData Analyst / Engineer · Focus area 2: Data warehousing✓
- 8DT8: Advanced SQL for analysisData Analyst / Engineer · Focus area 3: Analytics and dashboards✓
- 9DT9: Dashboards and decisionsData Analyst / Engineer · Focus area 3: Analytics and dashboards✓
- 10DT10: Capstone: three data projects for SabziSathiData Analyst / Engineer · Capstone✓
40 questions from every module, in new situations. Opens once you've passed the final examination and every module quiz in this path.
What you'll build
Projects you can show, because working software proves capability in a way tests alone can't.
- An automated pipeline that loads messy raw data, cleans it and refreshes on a schedule.
- A dashboard that answers real questions for colleagues who aren't technical.
- A well-modelled warehouse schema, with personal data protected or left out.
