Professional Certificate in Data Science & Business Analytics
This page is the single official record of this programme. Transcripts, syllabus PDFs, the learner workspace and the public verification page are all generated from it, and each printed syllabus carries the version and fingerprint shown below so evaluators can compare them line by line.
Each module is 60 hours: 20 h guided instruction, 20 h supervised lab, 12 h project studio, 8 h assessment. Programme version 2026.10 · fingerprint C8D901E214A4C746
| Code | Course | Hours | ECTS |
|---|---|---|---|
| SWY-05-M01 | Statistical Foundations | 60 | 3 |
| SWY-05-M02 | Advanced Excel & Power Query | 60 | 3 |
| SWY-05-M03 | SQL for Analytics | 60 | 3 |
| SWY-05-M04 | Python for Data Analysis | 60 | 3 |
| SWY-05-M05 | BI Tools — Power BI / Tableau | 60 | 3 |
| SWY-05-M06 | Big Data Concepts | 60 | 3 |
| SWY-05-M07 | Predictive Analytics | 60 | 3 |
| SWY-05-M08 | Data Ethics & Governance | 60 | 3 |
| SWY-05-M09 | Storytelling with Data | 60 | 3 |
| SWY-05-M10 | Capstone — End-to-End BI Dashboard | 60 | 3 |
M01 Statistical Foundations · Module 1 · 60 h
Hypothesis testing, intervals, regression, A/B testing.
- • Hypothesis testing
- • intervals
- • regression
- • A/B testing
M02 Advanced Excel & Power Query · Module 2 · 60 h
Pivots, data modeling, automation.
- • Pivots
- • data modeling
- • automation
M03 SQL for Analytics · Module 3 · 60 h
Window functions, CTEs, performance tuning.
- • Window functions
- • CTEs
- • performance tuning
M04 Python for Data Analysis · Module 4 · 60 h
Pandas wrangling, cleaning, multi-source merges.
- • Pandas wrangling
- • cleaning
- • multi-source merges
M05 BI Tools — Power BI / Tableau · Module 5 · 60 h
Connections, dashboards, DAX.
- • Connections
- • dashboards
- • DAX
M06 Big Data Concepts · Module 6 · 60 h
Hadoop ecosystem, Spark basics, large-scale processing.
- • Hadoop ecosystem
- • Spark basics
- • large-scale processing
M07 Predictive Analytics · Module 7 · 60 h
Time-series forecasting, trend modeling.
- • Time-series forecasting
- • trend modeling
M08 Data Ethics & Governance · Module 8 · 60 h
GDPR, privacy, bias, responsible use.
- • GDPR
- • privacy
- • bias
- • responsible use
M09 Storytelling with Data · Module 9 · 60 h
Stakeholder narratives, executive reporting.
- • Stakeholder narratives
- • executive reporting
M10 Capstone — End-to-End BI Dashboard · Module 10 · 60 h
Ingest, clean, analyze, present interactive insights.
- • Ingest
- • clean
- • analyze
- • present interactive insights
- • Written examination — 30% of the course mark
- • Laboratory / practical portfolio — 40% of the course mark
- • Project defence — 20% of the course mark
- • Professional conduct & participation — 10% of the course mark