Kickstart Your Career in Data Analytics

Learn from Leading Data Analysts 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%!

Next batch starts on August 2022

LAST CHANCE FOR LIMITED 15% EARLY BIRD DISCOUNT

86% of the Slots Have Been Filled
Apply Now to Save More!

Kickstart Your Career in Data Analytics

Learn from Leading Data Analysts 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%!

Next batch starts on August 2022

84% of the Slots Have Been Filled
Apply Now to Save Rp3.000.000!

Why Launch a Career as a Data Analyst?

High salary

Within this big data era, data analysts are so crucial for the companies. Top tech companies are constantly looking for Data Analysts and they are willing to offer a great salary for a skilled Data Analyst.

Promising Career Path

As a data analyst, your insights are the main driver of the decision-making of the company, thus you will work with high-level executives. Great Data Analysts have a high chance for leadership and management roles.

You can have a career in tech company without any IT skills

Tech is the fastest-growing industry, and as a Data Analyst, you can start your career in a tech company without coding skills or any tech background.

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

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.

Acquire Real Work Experience

Build your portfolio by working with real clients with our 3-months apprenticeship program.

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
  • 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
  • Mastering Advanced Functions and Query in Excel & Spreadsheets
  • Fundamentals and Advanced Statistics for Data Analysis
  • Regression and Correlation
  • Probability and Hypothesis Testing
  • A/B Testing
  • SMART Experiments in Startups
  • 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
  • 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
  • Working in-depth with SQL & Python tools to solve an end-to-end real business case in the industry
  • Present initial findings to stakeholders
  • 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
  • Tableau Mastery and Operations
  • Using Tableau to Visualize Data and Create Dashboards
  • Implementing data visualisation to various business use cases
  • 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
  • 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.