will use on Monday.
From Excel basics to machine learning. We start where your team is today, and every level teaches how to use AI in the work.
Trusted by data teams at
Why we train differently
What usually goes wrong
Most trainers teach Excel, SQL or Power BI as tools. Participants learn the buttons, but not how it changes a decision or a number the business cares about.
How we train
Before the class, we agree with you which reports, decisions or targets the training should improve. Every module is built toward that.
What usually goes wrong
The same material goes to everyone. Analysts find it too easy, others find it too hard, and nobody changes how they work.
How we train
We meet your team and run a quick skills check. The program is then set at the level your people are actually at.
What usually goes wrong
Participants practise on made-up data from other industries, so it's hard to use what they learned in their own work.
How we train
Exercises use your own data (with sensitive details hidden), your tools and cases from your industry. Each participant finishes with a report or dashboard their team can use.
What usually goes wrong
Without follow-up, people go back to old habits within weeks.
How we train
Our coaches keep helping after the class ends. Teams can also present what they built to management.
Your tools
Most teams use several of these. In discovery we note which ones your team uses, and all practice happens there.
Spreadsheets
Excel Power Query 
VBA / Macro 
Google Sheets Databases & SQL
BigQuery 
PostgreSQL 
SQL Server 
MySQL BI & dashboards
Power BI 
Tableau 
Looker Studio 
Looker 
Qlik 
Metabase Programming & machine learning
Jupyter 
pandas 
scikit-learn 
Git AI assistants
Copilot in Excel Copilot in Power BI Tableau AI 
Gemini in Sheets Gemini in Looker Gemini in BigQuery 
ChatGPT 
Claude Work in banking, insurance or government? We can hide sensitive data or train inside your own systems, following your security rules.
Coverage
Levels are set by who is learning, not by tool. Each one has a core skill, the AI that goes with it, and something your team takes back to work.
Level 1
Any staff or manager
They finish with
A one-page summary of your team's key numbers
Taught on
What they learn:
With AI
Use Copilot or Gemini to tidy, summarise and explain data
Level 2
Staff who prepare reports
They finish with
A working dashboard built on your data
Taught on
What they learn:
With AI
Let AI write database queries and draft report summaries
Level 3
Experienced analysts
They finish with
A sales forecast or customer grouping
Taught on
What they learn:
With AI
Use AI to write and check Python code
Level 4
Data and IT teams
They finish with
A tested prediction model
Taught on
What they learn:
With AI
Build AI tools that answer questions from your company's own data
AI for Data · 1–2 days for teams who already use SQL or dashboards. Build an AI assistant that analyses your own reports.
With universities
Joint programs with Indonesian universities, for teams ready to go past the ladder with a university certificate.
Institut Teknologi Bandung 12 weeks, online plus sessions at ITB Bandung. For managers. December 2026 class open.
BINUS University 12 weeks, online plus sessions at BINUS Kemanggisan.
Institut Teknologi Bandung 13 weeks, online plus sessions at ITB campus. For analysts moving into predictive modelling. December 2026 cohort.
Who teaches
Our instructors are working data practitioners at banks, tech companies and consumer brands in Indonesia.
Imanuel Buhapoda
Data Scientist, Bank Mandiri
Ari Sulistiyono
Analytics Team Lead, Tokopedia
Brandy
Senior Analytics Product Owner Manager, L'Oréal
Rahmat Hidayatullah
Marketing Strategic and Analytic Specialist, XL Axiata
We match instructors to your team's industry and level during discovery, and confirm them before the class starts.
Results
Made actuarial reporting faster and more consistent using SQL, Python and Power BI.
Taught the team to analyse customer data, with help from AI.
Automated repetitive Excel reports with macros.
AI Training covers Marketing, Sales, HR, Finance and more. AI Transformation helps you change how the work itself gets done.
FAQ
We start with discovery: a quick skills check and a conversation with the team lead. People are then grouped by level, so analysts and non-analysts don't sit through the same material. A mixed team usually ends up across two levels, run as separate groups.
Yes. Exercises use your own reports and data, with sensitive details hidden before the class. For banking, insurance and government teams we can also train inside your own systems, following your security rules.
We teach on the tools you already have: Excel, Google Sheets, SQL databases, Power BI, Tableau, Looker Studio, Python and the AI assistants built into them. You don't need to buy new software. If a tool is worth adding, we'll say so and explain why.
It depends on the level and how deep your team needs to go. Programs run from a half-day workshop to multi-week tracks, and the university programs run 12 weeks. We confirm hours and schedule after discovery.
Yes. Participants who complete the program receive a RevoU certificate. The ITB and BINUS programs come with a university certificate.
Before the class we agree which reports, decisions or targets the training should improve. Each participant finishes with a real output built on your data (a summary, a dashboard, a forecast or a model), and teams can present it to management. Whether that output is still in use afterwards is how we measure it.
Tell us what you're looking for. We'll follow up within one business day.