Churn decision app
Move from describing churn to predicting who is likely to leave and prioritizing intervention.
Exclusive next step for RevoU Data Analytics alumni.
You built your analytics foundation.
Now build what comes next.
Applied Data Science with AI is the ITB-certified next step for RevoU Data Analytics graduates ready to go deeper into predictive modelling, AI-assisted building, and operational data products.
Founding Alumni Price
IDR 11.999.000 General admission IDR 16.999.000
Next cohort: December 2026
13 Weeks
Working-professional format
Hybrid
Online + ITB Campus
ITB Certified
Certificate of Completion
Your RevoU data journey
Data Analytics gave you the foundation. This is the next layer.
Your Full Stack Data Analytics training already gave you business problem solving, SQL, Python, statistics, visualization and analytical communication. Applied Data Science with AI is designed to build on that foundation, not restart it.
-
Stage 1
Analyze
What happened?
SQL · Python · EDA · dashboards
-
Stage 2
Diagnose
What likely drove it?
Business framing · statistics · root-cause analysis
-
Stage 3
Predict
What happens next?
Regression · classification · forecasting · model validation
-
Stage 4
Build with AI
How can AI expand what you can build?
AI coding agents · unstructured data · AI-assisted workflows
-
Stage 5
Operationalize
Can this keep producing reliable decisions?
Testing · monitoring · governance · usable data products
Applied Data Science picks up directly from the foundation you built at RevoU. That lets the program spend its time on deeper statistical, modelling, and product skills.
What changes from Full Stack Data Analytics
Take the tools you already use and go deeper into modelling, validation, and data products.
Applied Data Science goes beyond advanced analytics into deeper modelling, validation, and operational data products.
Already in your Full Stack Data Analytics toolkit
- Business problem framing and metric reasoning
- SQL and BigQuery
- Python, NumPy and Pandas
- Descriptive statistics, EDA and experimentation basics
- Dashboards, visualization and data storytelling
- AI-assisted analytics workflows
- Automation / production analytics foundations
What Applied Data Science takes much deeper
- Rigorous predictive modelling and model-family selection
- Regression, classification, forecasting and segmentation at DS depth
- Feature engineering, tuning and error-cost decisions
- Model validation, explainability, bias and responsible AI
- AI coding agents working inside your repository under review gates
- Reproducibility, MLflow, Git and testing practices
- Monitoring, drift and operational model ownership
- A working data product built around a real business decision
The six capabilities you add
The six capabilities Applied Data Science develops beyond your foundation.
The capabilities that move an analyst from reporting and explaining to predicting, building and owning.
Predict
Build and validate models for classification, regression and forecasting problems.
Choose models
Compare approaches, establish baselines and choose based on evidence, not novelty.
Build with AI
Use coding agents to accelerate implementation while keeping judgment and verification yours.
Explain & govern
Understand errors, explainability, bias and when the model should not be trusted.
Operationalize
Use reproducibility, testing, Git, MLflow and monitoring practices to move beyond notebooks.
Ship a data product
Turn a validated model into an interface or workflow that a decision-maker can actually use.
From analysis to things that keep working
What could you build with the next layer?
Demand forecast planner
Move from historical trend analysis to a forecast with uncertainty that refreshes on a schedule.
Feedback intelligence
Turn thousands of customer comments into structured themes and ranked issues for action.
Automated prediction pipeline
Take a model out of a notebook and turn it into a repeatable workflow with monitoring.
Your capstone: bring a real decision from your own work, or use an anchor case. Build the evidence, model, interface and governance plan, then defend it live to industry reviewers.
Why this next step matters now
AI changed the cost of building and increased the leverage of strong data fundamentals.
You already know how analytics works. What changed is how much of it you can build yourself.
More data is usable
Documents, tickets, reviews and conversations can now become inputs to analytical and AI-enabled systems.
Building is faster
AI coding tools reduce implementation friction in Python, testing, refactoring and documentation.
Judgment matters more
As implementation gets easier, more value shifts to problem framing, statistical rigor, validation, and knowing when an output can be trusted.
Why this program
A combination designed for the next stage of your data career.
You already know the RevoU learning experience. These are the three things this program adds.
ITB statistical rigor
Go deeper on uncertainty, experimentation and statistical reasoning with ITB faculty.
Working Data Science leaders
Applied curriculum shaped and taught by senior practitioners who run real data-science work in industry.
AI-native, end-to-end practice
Use AI throughout the workflow, build a real data product, then defend the work without AI in the room.
Want the full program details?
See the complete curriculum, faculty, ITB credential, schedule and learning experience on the main Applied Data Science with AI page.
Your alumni offer
Your Full Stack Data Analytics foundation gives you a head start, and your alumni price reflects it.
Founding alumni pricing for RevoU Data Analytics graduates, applied to the same 13-week program.
Founding alumni price · RevoU Data Analytics graduates only
Alumni Price IDR 11.999.000 /person
General admission: IDR 16.999.000 /person
You save IDR 5.000.000 · ~30%
RevoU Data Analytics graduates only. Your alumni status is verified during application. Installment options available.
- 13-week hybrid Applied Data Science with AI program
- Live weekday evening classes
- Two ITB campus experiences
- ITB × RevoU Certificate of Completion
- Mentoring + capstone stress-test clinics
- AI coding tools during the build phase
- Capstone + live panel defense
- RevoU alumni and AI community access
Questions from Data Analytics alumni
Before you apply.
How much overlap is there with Full Stack Data Analytics? +
This program assumes basic Python, SQL, descriptive statistics and analytics workflows from day one. Some concepts will feel familiar, but the level goes much deeper into predictive modelling, model selection and validation, feature engineering, reproducibility, monitoring, governance, and building an operational data product.
What makes Applied Data Science different from an advanced Python or machine-learning course? +
The focus is the full applied workflow: frame the business problem, build trustworthy evidence, choose and validate a model, use AI to accelerate the build, operationalize the output, monitor it, and communicate the decision.
Do all Full Stack Data Analytics alumni meet the prerequisites? +
Graduates should already have most of the required foundation. Admissions will still check that your SQL, basic Python and statistics are fresh enough for the pace of the program, especially if you graduated several years ago.
Who is Applied Data Science designed for? +
It fits alumni moving toward data science, as well as analysts, analytics leads and quantitative professionals who want to own predictive work and data products.
How do I claim the alumni price? +
Apply through this page and include your RevoU Data Analytics cohort. Your graduate status is verified and the alumni rate is applied to your offer.
What if I want the complete syllabus, instructor list or ITB credential details? +
Use the link to the main Applied Data Science with AI page. This page focuses on the progression from Data Analytics and what the program adds for RevoU graduates.
Your next RevoU chapter
Take your analytics foundation further. Build models and data products that predict what comes next.
Join the December 2026 cohort of Applied Data Science with AI with exclusive pricing for RevoU Data Analytics alumni.
© 2026 RevoU × Institut Teknologi Bandung. All rights reserved.