Data Analyst and Automation Practitioner Pathway
A reproducible data portfolio with SQL reports, Python pipeline, dashboard and evidence-based brief.. Reconcile metrics to source data, explain limitations and independently repair a data-quality error.
Register your interest. Dates and delivery are confirmed before enrolment opens.
What you will be able to do.
Build understanding, put it into practice and finish with work you can explain.
- Reconcile metrics to source data, explain limitations and independently repair a data-quality error.
Is this for you?
Beginner learners who can demonstrate the entry competencies listed below. Preparation suggestions are optional.
Before you begin
Create a folder, open a supplied file and submit a named artifact Calculate a total and identify a duplicate in a supplied sheet
How you will show your progress
Reconcile metrics to source data, explain limitations and independently repair a data-quality error.
From first principles to applied work.
Explain → Demonstration → Guided practice → Review
Planned outline. Lessons, trainer and schedule are confirmed before this course opens.
01Included coursePython Programming and Practical Data Automation
50 live hours, included once in this pathway.
- Passing the component assessment grants only its declared competencies; deliberate reinforcement uses a new case.
The hours for this course are already included in the pathway total.
02Included courseSQL, Database Modelling and Reliable Reporting
50 live hours, included once in this pathway.
- Passing the component assessment grants only its declared competencies; deliberate reinforcement uses a new case.
The hours for this course are already included in the pathway total.
03Included courseBusiness Data Analytics and Storytelling
50 live hours, included once in this pathway.
- Passing the component assessment grants only its declared competencies; deliberate reinforcement uses a new case.
The hours for this course are already included in the pathway total.
04Included coursePower BI: Data Model to Business Dashboard
8 live hours, included once in this pathway.
- Passing the component assessment grants only its declared competencies; deliberate reinforcement uses a new case.
The hours for this course are already included in the pathway total.
05Included courseBuild a Sales-Analysis Dashboard
10 live hours, included once in this pathway.
- Passing the component assessment grants only its declared competencies; deliberate reinforcement uses a new case.
The hours for this course are already included in the pathway total.
06Included courseBuild a Scheduled Data Pipeline
12 live hours, included once in this pathway.
- Passing the component assessment grants only its declared competencies; deliberate reinforcement uses a new case.
The hours for this course are already included in the pathway total.
07480 live minutesAnalyse a new multi-table dataset and preserve source-to-metric lineage
20 min explanation · 45 min demonstration · 310 min practice · 105 min review
Analyse a new multi-table dataset and preserve source-to-metric lineage
08360 live minutesRepair unknown data-quality errors and rerun the pipeline
15 min explanation · 35 min demonstration · 230 min practice · 80 min review
Repair unknown data-quality errors and rerun the pipeline
09240 live minutesBuild a management dashboard with defensible uncertainty
10 min explanation · 20 min demonstration · 155 min practice · 55 min review
Build a management dashboard with defensible uncertainty
10120 live minutesPresent findings and answer an independent metric-change request
5 min explanation · 10 min demonstration · 75 min practice · 30 min review
Present findings and answer an independent metric-change request
How you will practise and be assessed.
The planned assessment checks your result, your judgement and your ability to apply what you learned independently.
- 01
Build the promised result
Demonstrate the promised artifact
WHAT YOUR WORK SHOULD SHOWReconcile metrics to source data, explain limitations and independently repair a data-quality error.
- 02
Test a limit or failure
Build a management dashboard with defensible uncertainty
WHAT YOUR WORK SHOULD SHOWThe documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.
- 03
Apply it independently
Independently explain and change one assumption in a reproducible data portfolio with sql reports, python pipeline, dashboard and evidence-based brief..
WHAT YOUR WORK SHOULD SHOWThe learner predicts and verifies the change; AI output is not accepted without understanding.
Where this course stands.
Lab assets and supported tool versions are confirmed before teaching
Explore the source reference- Course ID
- R005
- Content
- Course outline in review
- Trainer
- Instructor to be confirmed
- Enrolment
- Not open · requests welcome
- Publication
- Planned
- Catalogue date
- 2026-10-15
Want to learn this?
Share your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.
- Your course is already selected
- Just your name and email to get started
- No payment or booking commitment
Know what your batch includes.
Learning support, assessment requirements and any certificate terms are confirmed with the batch before enrolment. Include your goals in your course request so the proposed format can be matched to what you need.
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