One student, one working data practitioner as your mentor. Learn Python, data analysis, visualization, and machine learning through real projects until you have a portfolio you can be proud of. In person or online, starting from Rp 120.000 per session.

Data science tutoring is one-on-one private guidance for learning how to turn data into decisions and predictions. The material covers Python for data, data cleaning and analysis, visualization, applied statistics, and machine learning. Learning is project-based with real datasets, guided by working data practitioners, with fees starting from Rp 120.000 per session, online or in person.
Choose the learning format that fits your schedule and learning style best.
The mentor comes to your home for hands-on guidance while you write code and analyze data.
Learn via Zoom with screen sharing and live notebook review, perfect for any city.
Learn together with 2-3 friends on collaborative analysis projects at a lighter cost.
Four progressive stages, from your first line of Python to a running machine learning model.
Get to know Python and how to think with data. You learn basic syntax and start working with tabular data using pandas before moving on to analysis and models.
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Clean up messy data and uncover patterns through exploratory data analysis. You learn to present findings with clear charts and basic statistics.
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Step up to modeling: building prediction and classification models with scikit-learn, then evaluating their performance. At this stage you understand the complete machine learning workflow.
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Work on a complete final data project from raw dataset to insights and model, then build your portfolio plus preparation for entering the workforce or a data internship.
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Four core modules arranged step by step, all project-based with real datasets.
The mentor tailors the modules to your goals. Those who want to focus on analysis will go deeper into EDA and visualization, while those aiming for machine learning will add more modeling.
The foundations of Python and manipulating tabular data with pandas, every data scientist's main tool.
Cleaning, exploring, and visualizing data so it tells a clear story.
Building prediction and classification models and evaluating them correctly.
Weaving all the skills together into a complete, job-ready data project.
Professionals from other fields who want to move into the data industry. The private format lets you learn between work commitments with clear targets and a real portfolio.
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Students from various majors who want practical data skills, as well as fresh graduates preparing a portfolio to apply as a data analyst or data scientist.
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Employees who want to make data-driven decisions, automate analysis, or add analytical skills to their current job.
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Students interested in data and technology early on, who want to get to know Python, or are preparing to enter data- and computer-related majors.
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Every real data project moves through six stages. You practice all of them until you can run a data project from start to finish on your own.
Turning business questions into data questions
Stage Outcome: A clear, measurable data question before touching any code.
Preparing raw data so it is ready to analyze
Stage Outcome: A clean, tidy dataset ready to explore.
Discovering patterns, trends, and anomalies
Stage Outcome: A deep understanding of what the data contains and where the analysis is heading.
Making data predict and group
Stage Outcome: Your first machine learning model running on real data.
Making sure the model is correct and trustworthy
Stage Outcome: A tested model and conclusions you can stand behind.
Sharing results so they have an impact
Stage Outcome: Insights that decision makers understand and a project ready to show off.
Many people learn data science in scattered pieces: Python in one place, statistics in another, machine learning from random videos. The result is confusion when facing real data. By practicing one complete workflow from problem to result, you get used to working on projects like a real data scientist. This is what recruiters look for and what makes your portfolio stand out.
Our private format is designed to produce real skills, going beyond a mere certificate.
You set the pace. Ask as much as you like without embarrassment, and move quickly without waiting for a class.
Learn from people who genuinely work on data projects, complete with real workplace practices.
Every module uses a real dataset and produces a genuine analysis. You learn by doing, going beyond just watching.
From understanding the problem, to processing data, to communicating results. No more disconnected pieces of material.
Graduate with a tidy data project on GitHub, ready to show to recruiters.
Clear costs from the start, beginning per session with no obligation to commit to a long package upfront.
Our mentors are working data practitioners as well as top students and alumni in statistics, computer science, and mathematics from leading Indonesian universities, experienced in guiding learners from scratch.
Statistics, IPB
Machine Learning & Python“Data science is not about memorizing formulas, it is about getting used to questioning the data and finding its answers.”
Computer Science, UI
Data Analysis & Visualization“When a student first makes a chart that answers their own question, that is when data starts to feel alive.”
Mathematics, ITB
Statistics & Modeling“Statistics is the foundation. I help students understand the logic, going beyond just running a function.”
Computer Science, UGM
Machine Learning & MLOps“A good model is not enough. I teach how to make it run and become useful to other people.”
Statistics, UNPAD
Data Analysis & SQL“Career switchers often hesitate to start. Yet with structured practice, they catch up quickly.”
Information Systems, ITS
Python & Data Engineering“I teach more than code; I teach how to think in a structured way when facing messy data.”
Real stories from those who learned data science with EduPoint.
I come from an economics background with zero coding experience. In 7 months of private tutoring, I now have 3 analysis projects in my portfolio and got accepted for an internship as a data analyst. My mentor was patient explaining Python from the basics.
Hansen H.
Career switcher from economics • Jakarta
Self-teaching from online courses left me confused about the order. With a mentor, the roadmap was clear from pandas to machine learning. Each session had a target and a small project I worked on right away.
Dewi M.
Statistics student • Bandung
My thesis needed data analysis and a prediction model, but I was stuck. The EduPoint mentor guided me from data cleaning to interpreting the results. My defense went smoothly because I truly understood the analysis.
Nadya O.
Final-year student • Surabaya
I am a manager who wanted to read data myself without always asking my team. The private tutoring focused on analysis and visualization suited to my work needs. Now I can build my own dashboards for reports.
Arif M.
Professional, looking to level up • Tangerang
My work schedule is packed, so evening online tutoring helped a lot. The sessions are recorded so I can replay them. Slow but consistent, and now I am comfortable with pandas and scikit-learn.
Cantika N.
Employee, learning while working • Depok
I enjoy the statistics side and my mentor steered me straight into modeling. Now I understand when to use regression or classification and how to evaluate them. It feels like opening up a new way of thinking.
Budi N.
Mathematics student • Semarang
My child is in university and wants to enter the data field. The mentor guided them from Python to real projects, and gave feedback diligently. They have become more confident applying for data internships.
Gina N.
Parent of a university student • Jogja
What I love is that the learning is genuinely project-based with real datasets. Each finished module produces a real analysis that goes into my portfolio. So learning feels productive, with no theory left hanging.
Vina S.
Career switcher from marketing • Medan
Transparent pricing with no hidden costs. Choose the package that fits your goals.
Free mentor replacement guarantee if it is not a good fit within the first 2 sessions.Great for getting to know a mentor and finding the right learning focus.
Rp 125.000/session • 4x pertemuan
Valid 1 month
The most popular choice for consistent weekly learning.
Rp 120.000/session • 8x pertemuan
Valid 2 months
A complete roadmap from Python to a job-ready data portfolio.
Rp 115.000/session • 16x pertemuan
Valid 4 months
Prices may adjust based on your learning focus, location, and tutoring format. Contact us for an exact quote.
Online data science tutoring is available for students across Indonesia and abroad.
In-person data science tutoring, with the mentor coming to your home in the following cities.
Real stories from those who changed their career direction through data science.
Answers to the questions prospective students ask most often.
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Free consultation with our team to find the learning focus and mentor that suit you best.