D3 / Professional
Data and AI Intensive
5 months · 500 contact hours
To produce data practitioners who can take a question from a real organisation through to a deployed answer. Emphasis is placed throughout on working with imperfect, incomplete and small datasets, which is the condition of most real data work in the region.
What you’ll learn.
9 modules · 500 contact hours
01Python for data50 hrs
- Language foundations.
- Numerical computing.
- Dataframes.
- Reproducible notebooks and environments.
02Data wrangling and SQL70 hrs
- Relational querying in depth.
- Joining and aggregating.
- Cleaning dirty data.
- Handling missing and small data.
- Pipelines.
03Statistics and inference60 hrs
- Descriptive statistics.
- Distributions.
- Hypothesis testing.
- Regression.
- Interpreting results honestly.
04Visualisation and communication50 hrs
- Chart selection.
- Building dashboards.
- Communicating uncertainty.
- Presenting to non-technical decision makers.
05Machine learning foundations90 hrs
- Supervised learning.
- Model evaluation and validation.
- Overfitting and regularisation.
- Unsupervised methods.
- Feature engineering.
06Applied machine learning70 hrs
- Working with text and language data.
- Time series.
- Model deployment as a service.
- Monitoring models in production.
07Data engineering basics60 hrs
- Storage design.
- Batch pipelines.
- Scheduling and orchestration.
- Data quality testing.
08Ethics and governance20 hrs
- Bias and fairness.
- Data governance.
- Compliance with Law No. 058/
- Responsible deployment.
09Capstone30 hrs
- End-to-end project on a real organisational dataset, defended before a panel.
On completion, you can.
- Take a business question through data to a defensible answer.
- Build, validate and deploy a machine learning model.
- Construct a reliable data pipeline.
- Communicate analytical findings and their uncertainty to decision makers.
How progress is assessed.
Project portfolio (40%), technical assessments (25%), capstone and panel defence (35%).
Certification and recognition
The planned certification includes a statement of attainment and a programme completion certificate; Professional programmes also carry an assessed portfolio. The curriculum maps to RTQF levels. Accreditation and external recognition are being sought; this is not a claim of approval.
What comes next.
Discuss your next learning or work goal with the team. Progression depends on demonstrated skills and the entry requirements of the next programme.
Talk about your next step ↗Confirm your preferred teaching language with the team. Weekly timetables and venue details will be confirmed with each intake.
Source: Curriculum Framework v1.0, pages 18. Read the full framework