
Turn raw data into decisions people act on.
A complete foundation in practical data science: getting data, cleaning it, analysing it with sound statistics, building models and explaining results to people who make decisions. Designed for career switchers and professionals who work near data but have not yet worked with it directly.
8 modules, 24 weeks, about 192 to 288 study hours
Topics
Lab
Analyse a public transport dataset
Estimated effort
24 to 36 hours over 3 weeks
Product names are trademarks of their owners, listed only to describe what we teach. No endorsement is implied.
Decide whether a campaign changed conversion, with the right test and caveats.
Statistics, Python
Predict default risk and explain drivers to a credit committee.
scikit-learn, SQL
12-month option
Forecast weekly product demand with backtested accuracy.
Time series
Payment options vary by country and are shown at checkout.
Tuition and payment optionsComplete every required module, pass the assessments and the capstone review to earn the Professional Certificate.
Each certificate has a unique ID and QR code that anyone can check on our verification page.
This is a professional credential issued by Zyvora Academy, not an academic degree.
Answers questions and informs decisions with statistics and models.
Role detailsTurns business data into reports, dashboards and recommendations.
Role detailsWe'll email the detailed syllabus, and the fee sheet as soon as tuition for the next intake is published.
Ask about fit, prerequisites or which length suits you. An advisor replies by email to arrange a call.