Accelerate Your Career in Data Analytics

•  LIVE Class  •  Job Guarantee  •  Largest Community with 6000+ Alumni

Learn from Leading Data Analysts in SEA and accelerate your career as a Data Analyst. If you don't get a job, we will REFUND your tuition fee up to 100%!


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Next batch starts in May 2023

Our graduates work for Southeast Asia's top companies

We'll help you get hired! We’ll work with you throughout the program and after finishing the program to help you build your portfolio, practice interviews, and land a job that fits your career goals.
...and many more!

What is a Data Analyst?

Data Analysts are responsible for seeking answers to why things happen. For example, why did our 5.5 campaign exceed the target revenue by 200%? Why did our monthly app users decrease by 30%?

What skills do you need to become a successful Data Analyst?

Analytical thinking
Mathematics and statistics (working with numbers)
Database skill and programming (R, Python, SQL)
Communication skill

What degree or education level should you have?

You don’t need to graduate from an IT or statistic major. You can learn and master all the knowledge and skills required to become a successful Data Analyst in this program.

Is my career path only limited to a Data Analyst role?

You will not be limited to only a data analyst role through this program. You can also be a:
•  Business analyst
•  Product analyst
•  Sales analyst
•  Marketing analyst
•  and other analyst roles!

Why start a career as a Data Analyst?

High Salary
According to salary survey report, associate data analysts position (entry-level) salary can start from Rp8,000,000 - Rp15,000,000
Promising Career Path
As a data analyst, your insights are the main driver of the company's decision-making; thus, you will have a high chance of leadership and management roles.
No Coding Skills Needed
You don’t need IT background or skills to start your career as a Data Analyst

Why learn at RevoU?

Flexible Payment Options
Finance your education with low monthly payments. Complete the program with the help of our financing partners.
Learn the Most in-Demand Skills
We partner with the best tech companies in South East Asia to design the curriculum. We only focus on real-life skills needed to succeed in your career.
LIVE Classes by Industry Leaders
You will be taught by leading international industry practitioners working for some of the top tech companies in SEA.
Flexible around your Schedule
Attend our live, interactive online classroom from anywhere. All you need is an Internet connection and commit to 15-20 hours of intense studying per week.
Work on Projects Guided By Experts to Get You Job-Ready
You will build your portfolio as an aspiring data analyst by doing projects, solving case studies, and working with various datasets. You will be exposed to many business models, project requirements, and guided by many stakeholders.

Learn From The Best in The Business

Zulhans Ramadhan M.
Business Intelligence Lead at GoPay
Nicholas Vidya
Business Intelligence Lead at Telecom Operator Company
Adrian Imanuel
Data Analyst at
Meri Andani R.
Data Analytics Lead
Luqman Syauqi Hidayat
Head of Data Mamikos, ex-Head of Data at Gojek
Doni Surya Putra
Head of Data at Kitabisa
Rahmat Hidayatullah
Marketing Strategic and Analytic Specialist
Indah Mustikasari
Product Manager - Data & Experimentation at ZALORA Group
Vanessa Geraldine
Senior Manager of Special Projects at RevoU

What You'll Learn in Data Analytics Program

You will learn all of this in only 3 months, where it would usually take years. The theory, practice, and soft-skill development, will help to start your career in data analytics.

1st Month: Fundamentals of Data Analytics

Understanding business problems
Data cleaning and preparation
Exploratory Data Analysis (EDA)
Hypothesis testing and Google Add-ons

2nd Month: SQL and Python

Basic SQL
Data manipulation and joins ins
Data formatting and cleaning
Real case studies
Common Table Expression (CTE)
Window function
Data cleaning and preparation
Exploratory Data Analysis (EDA)
Cluster analysis
Customer segmentation
Regression analysis
Correlation analysis

3rd Month: Data Visualization and Communication

Data Visualization
Storytelling using data visualization
Fundamentals of data visualization
Data preparation for visualization
Data Communication
Communication structure
Storytelling with data
Constructing presentations

4th - 6th Month: Career Prep, Projects, and Case Studies

(optional in RevoU Next)
Defining career goals and how to achieve it
Portfolio and CV building with your career mentors
Practice interviews with your career mentors

RevoU Learning Timeline

Not only intensive learning directly from experts, we guide you until you are ready to work.

Tuition Fee

With these payment options

Student Testimonials

Data Analytics seems like hard to learn but actually RevoU make it easy and fun
Hinsa Adi Pratama
I think RevoU has a great atmosphere to learn, to know how far is our limit, boost our motivation, networking, and also get closer to our goals
Sri Lestari
Holistic data analytics curriculum covering every important things related to Data Analytics
Hafizh Rachman
The assignments are really great! Challenging yet still able to be done with all the information taught in the lectures
Kevin Gosal

Admission Process

RevoU is a fast-paced, immersive, online education experience. Through our admissions process we make sure that our program is right for you, so you can get the most out of it.

2-minutes short Application Form

15 questions Analytical Assessment

Motivational Essay

Do you really want to achieve a successful career? What are your career goals? Tell us about it!

15-mins quick video call with us

You can consult your perfect payment plan and how you can achieve your goals with us

Be an Elite Data Analyst Now

Comes with a Job Guarantee that will refund up to 100% of your tuition fee if you don't get a job after finishing the program

Frequently Asked Questions

Will the class be in English?

As English is the chosen language for online communication, most of the reading materials and briefs will be in English to better prepare students for the global digital industry. For in-class learning, there will be English-speaking instructors for some modules and classes. However, if you prefer, you can choose to be allocated in classes that will be fully conducted by Indonesian instructors.

Will I automatically get a job after finishing the program?

After the RevoU Course (3 months), you can take the RevoU Next (additional 3 months, including RevoU Labs and Career Support) to prepare for your new career. We will help you have portfolio projects, practice interviews, and every other skill needed to start a new job. So far, 96% active jobseeking alumni landed jobs.

Why do I need to take tests to join this program?

We want to make sure that you are the perfect fit for this program and that you will be able to achieve your goals after the program. Through the test, we'll also make sure to fit you with the needed knowledge to start your career.

Minimum laptop specification for this Data Analytics class?

Windows 7, recommended RAM 4 GB, minimum free disk space 3.5GB. This allows you to use various tools such as Python, SQL, and others.

Do I need to have an IT background?

No, you don't need a specific background. However, any experience with data, statistics, math, and programming helps. Motivated and passionate about data is a must because the program requires a commitment.

Is it okay to not know anything about coding to join this Data Analytics program?

You don't need to know about coding to join this program. This program is meant to help you learn and master it for your future career in Data Analytics.

What it's like to learn at RevoU Data Analytics program?

Every curriculum creator of this course is a hiring manager and data practitioner, so we create the curriculum based on the needs of companies. You will learn every module in 2 weeks. In the beginning, you will learn about understanding business problems. Then it will progressively get more technical as in the real work of a data analyst.

What is the difference between a data analyst and a data scientist?

Data scientists focus on the algorithm to make a prediction, whereas data analysts are responsible for analyzing data to make a business decision. You will need data analytics knowledge before learning data science. Data analytics is more versatile as you can get into any business or data function. If you want to be more advanced in predictive analytics, you can deep dive into data science.

Can we be a Data Scientist after graduating this program?

Our program lets you master data analytics and start your career as a data analyst, fundamental to every data role. After this program, you can learn more specialized data knowledge and be a data scientist or data engineer.

Will we learn using Python or R?

You'll learn using Python because, based on the feedback from our experts, Python is more versatile and used by more companies.

What are the tools that we'll use in this Data Analytics course?

  • SQL - Google Bigquery
  • Python - Google Colaboratory & Jupyter Notebook
  • Dataviz - Tableau, Google Data Studio
  • Excel & Sheets

Is there a final project?

There will be a final project to help you craft your portfolio. You will present your final project on the pitching day, and we will invite our experts there.

What is RevoU Labs?

RevoU Labs is a three-month projects with personalized mentor program where you will apply your knowledge in portfolio projects supervised by our Lead and Strategists.

Where are the Data Analytics alumni working now?

Our data analytics alumni are now working in various sectors such as tech, finance, and even government institutes. Here are some of their stories: