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Advanced Program
Data Science & Analytics
Statistical depth for decisions with real stakes.
- Length
- 12 or 18 months
- Level
- Advanced
- Weekly
- 10 to 14 hours
- Format
- Live cohort, Hybrid
- Modules
- 10 to 15
- Next intake
- To be announced
What you'll learn
An advanced program for analysts and data scientists who want rigour: Bayesian methods, causal inference, experimentation at scale and optimisation. You learn to answer questions where a wrong answer costs money, and to communicate uncertainty honestly.
By the end, you will be able to
- Fit and critique generalised linear and hierarchical models
- Run Bayesian analyses and communicate posterior uncertainty
- Design and analyse experiments at scale
- Estimate causal effects from observational data
- Formulate business decisions as optimisation problems
Curriculum
Switch between the 12- and 18-month options to see how the program expands. Every module includes a hands-on lab.
10 modules, 48 weeks, about 480 to 672 study hours
Core modulesCapstone
Topics
- Window functions
- Query plans
- Dimensional modelling
Lab
Rebuild a metrics layer
Estimated effort
40 to 56 hours over 4 weeks
Skills you'll build
- Statistical modellingAdvanced
- Causal inferenceAdvanced
- Bayesian analysisAdvanced
- ExperimentationAdvanced
- OptimisationProficient
Tools and technologies
- Python
- R
- SQL
- PyMC
- statsmodels
- scikit-learn
- Apache Spark
- OR-Tools
Product names are trademarks of their owners, listed only to describe what we teach. No endorsement is implied.
Portfolio projects
Representative projects from the curriculum. Your capstone is scoped with a mentor around a problem you choose.
Pricing effect study
Estimate the causal effect of a price change using observational sales data.
Causal inference, Python
Staff scheduling optimiser
Turn demand forecasts into an optimal rota under labour constraints.
Forecasting, Linear programming
18-month option
Personalised offers with bandits
Allocate offers adaptively while measuring lift.
Bandits, Spark
How it's delivered
- Live cohort
- Scheduled live classes each week with your cohort, recorded for different time zones, plus self-paced lessons and labs.
- Hybrid
- Self-paced lessons with fortnightly live workshops and mentor sessions.
Instructors
Instructor and mentor profiles for this program are published once each person's background has been verified. We don't show placeholder faces or borrowed credentials.
Admissions
- 1Submit an online application
- 2Short technical conversation
- 3Decision by email
- 4Confirm your place and start onboarding
Tuition
- 12-month optionPublished before intake
- 18-month optionPublished before intake
Payment options vary by country and are shown at checkout.
Tuition and payment optionsCertificate
Complete every required module, pass the assessments and the capstone review to earn the Advanced Program.
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.
Where it can lead
Roles this program builds toward. Outcomes depend on your background, effort and local job market; we don't guarantee employment.
Data Scientist
Answers questions and informs decisions with statistics and models.
Role details
Program questions
Syllabus
Get the full syllabus
We'll email the detailed syllabus, and the fee sheet as soon as tuition for the next intake is published.
Advisor
Speak to an advisor
Ask about fit, prerequisites or which length suits you. An advisor replies by email to arrange a call.
