Kickstart Your Career in Data Analytics

Learn from Leading Data Leaders and Practitioners in SEA and kickstart your career as a Data Analyst.

If you don't get a job, we will REFUND your tuition fee up to 100%!

91% of the Slots have been filled
Don't Wait for Another 4 Months!

Kickstart Your Career in Data Analytics

Learn from Leading Data Practitioners in SEA and kickstart your career as a Data Analyst now.

If you don't get a job, we will REFUND your tuition fee up to 100%!

91% of the Slots have been filled
Don't Wait for Another 4 Months!

Learn From The Best in The Data World

Doni Surya Putra

Head of Data at Kitabisa

Luqman Syauqi Hidayat

Head of Data Mamikos
ex-Head of Data at Gojek

Vanessa Geraldine

Senior Manager of Special Projects at RevoU

Zulhans Ramadhan Maharoesman

Business Intelligence Lead at Gopay

Indah Mustikasari

Product Manager - Data & Experimentation @ Zalora Group

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.

Acquire Real Work Experience

Build your portfolio by working with real companies or organizations with our 3-months apprenticeship program (Optional).

Why Launch a Career as a Data Analyst?

Data Analyst is one of the most in-demand job in 2021. Within this big data era, data analysts are so crucial for the companies. Top Tech Companies are always looking for data analysts to grow. They are the most critical factor in the survival and growth of a tech company. That's why they will pay you high and give you endless career opportunities. The good news is, you can be successful in Tech without any background in Tech.

Start Your Rewarding Journey Now

You will learn what normally would take years in just 13 weeks from top industry leaders. Not only you will be great in technical skills, but you will also be a good communicator that can be versatile across all business functions. You will be fully equipped with the skills and experiences needed to launch a career as a Data Analyst in top tech companies.

What You Will Learn

There will be three main stacks in Data Analytics where each will take 4-5 weeks. Each subject will require you to apply what you learn with hands-on experience through practical assignments and direct feedback from your instructors.
Be ready to be mentored by the best in the industry and become a full-stack data analyst in no time!

FUNDAMENTAL
FUNDAMENTALS OF DATA ANALYTICS
  • Fundamentals of Data Analytics Process
  • End-to-end Data Architecture and Data Warehousing
  • Data stakeholders, ethics, data privacy, and data security
UNDERSTANDING BUSINESS PROBLEM
  • Business Metrics for Data-driven companies
  • Frame any Business Challenges as Data Questions with Lean Analytics
  • Data Metrics and Growth Frameworks used in real Startups and companies
  • Lifecycle of a startup and Business Acumen for Full-stack Data Analysts
PREPARING AND EXPLORING DATA
  • Mastering Advanced Functions and Query in Excel & Spreadsheets
  • Fundamentals and Advanced Statistics for Data Analysis
ANALYZING DATA TO ANSWER QUESTIONS
  • Regression and Correlation
  • Probability and Hypothesis Testing
  • A/B Testing
  • SMART Experiments in Startups
TECHNICAL
ADVANCED SQL FOR
DATA ANALYSIS
  • In-Depth Understanding of Databases, Relational Databases and Structures
  • Creating Tables and Ingesting Data with SQL
  • Preparing, exploring, and analyzing large dataset with SQL queries
  • Using SQL Syntax, Queries to Solve Business Cases in startups
PYTHON PROGRAMMING FOR
DATA ANALYSIS
  • Working with Github, Jupyter Notebooks and IDEs
  • Data Wrangling with Pandas, NumPy
  • Hypothesis testing and A/B testing with Python
  • Create Python analytics solution
  • Learn the different stages of exploratory data analysis and how to create interactive dashboards with Python
TECHNICAL CAPSTONE
  • Working in-depth with SQL & Python tools to solve an end-to-end real business case in the industry
  • Present initial findings to stakeholders
COMMUNICATION
FUNDAMENTALS OF VISUALIZATION
  • Design Thinking Framework
  • Analyse, model and interpret data
  • Best Practices and Tools for Data Visualization
  • Using Various Tools for Data Visualization to become a tool-agnostic data analyst
DATA VISUALIZATION WITH TABLEAU
  • Tableau Mastery and Operations
  • Using Tableau to Visualize Data and Create Dashboards
  • Implementing data visualisation to various business use cases
DATA VISUALIZATION INSIGHT COMMUNICATION
  • Generating insights from data and communicating insights
  • Creating Effective Data Presentation the Consulting Way
  • Pitching and Storytelling with Data
  • Writing narratives and end-to-end data project management
PITCHING WEEK
  • Work on Practical, Real-World Problem-Solving and Apply Everything that You have learned in a final data project
  • Pitch the insights to the data leaders panel and gain feedback directly from the practitioners

Learning Timeline

Learning Timeline

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.

APPLICATION FORM

ANALYTICAL ASSESSMENT

MOTIVATIONAL ESSAY

VIDEO CALL

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.

Be a Sought-After Data Analyst Now

F.A.Q

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.

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.

Data scientist focuses on the algorithm to make a prediction, where data analyst is responsible for analyzing data to make a business decision. You will need data analytics knowledge prior to 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 then deep dive into data science.

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

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

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 hiring partners there.

RevoU Labs is a three-month apprenticeship program where you will apply your knowledge in a data project supervised by the client.