Digica Academy
Data & Tech bootcamps

Learn Data & Tech from Industry Practitioners

Join practical bootcamps in SQL, Data Analysis, and Data Science designed to help you build real-world skills and ship production-grade projects with confidence.

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About us

Digica Academy runs live data bootcamps with industry practitioners — so you ship real projects, not just watch lectures.

Alumni hired at

JagoDANA

3+

Industry-focused programs and bootcamp tracks

1000+

Learners trained through Digica Academy programs

10+

Hands-on projects and real-world case studies

Upcoming programs

Mini Bootcamp SQL, Mini Bootcamp Data Analytics, and Data Science Bootcamp.

Live cohorts

No upcoming programs right now

Check back soon for the next workshop or bootcamp cohort.

Getting started

How it works

Four simple steps from picking a class to finishing with work you can show.

Live classes, a cohort beside you, and projects you actually build.

  1. 1

    Pick your program

    Choose the upcoming workshop or bootcamp that fits your time and goals.

  2. 2

    Join the live class

    Learn with instructors and your cohort. Miss a session? Watch the recording.

  3. 3

    Build as you go

    Practice on real-world cases and get feedback before the next week.

  4. 4

    Finish with proof

    Leave with projects and skills you can talk about in interviews.

Curriculum

What you will learn

Switch tracks to see the live sessions for Data Science Bootcamp, Mini Bootcamp SQL, or Mini Bootcamp Data Analytics.

Data Science Bootcamp

20 live sessions

Sessions 1–5

Foundations

1
  1. 1.Introduction to Data Science
  2. 2.Mastering SQL
  3. 3.Python Introduction
  4. 4.Python Data Types
  5. 5.Python Data Processing (Pandas & DataFrame)

Sessions 6–9

Analysis

2
  1. 6.Statistics
  2. 7.Data Cleansing & Preprocessing
  3. 8.Data Visualization
  4. 9.EDA (Exploratory Data Analysis)

Sessions 10–14

Machine learning

3
  1. 10.Introduction to Machine Learning
  2. 11.Supervised Learning - Regression
  3. 12.Supervised Learning - Classification
  4. 13.Unsupervised Learning
  5. 14.Introduction to Deep Learning

Sessions 15–20

Capstone

4
  1. 15.Business Implementation & Final Project Brief
  2. 16.Recap End-to-End Data Science
  3. 17.Mentoring - Business, Data Understanding, Data Cleansing, EDA
  4. 18.Mentoring - Modeling & Evaluation (Business Implementation)
  5. 19.Final Project Presentation (Part 1)
  6. 20.Final Project Presentation (Part 2)

How you learn it

Project-based learning

1

Every module ends with a concrete deliverable – dashboards, analyses, and case studies you can show to hiring managers.

Mentor feedback

2

Get direct feedback on your work from practitioners who ship real products, not just record video courses.

Industry-driven curriculum

3

Content is shaped by real interview questions, on-the-job tasks, and patterns from modern data teams.

Instructor Team

Meet our expert instructors

Learn from practitioners who ship real products — blending hands-on experience with clear, structured teaching.

Stephanie

Stephanie

Lead Instructor

Data Science Lead

JULO | Ex. GOJEK & UNILEVER

  • Darren

    Darren

    Data Scientist

    DANA

  • Sherin Widya Sari

    Sherin Widya Sari

    Senior Data Scientist

    Gojek

  • Katia Evelyn Husen

    Katia Evelyn Husen

    Data Analytics

    Grab

  • Liliek Darmawan

    Liliek Darmawan

    Product Data Specialist

    Traveloka

Alumni stories

From bootcamp to data careers

Two Digica Data Science Bootcamp alumni who landed analyst and scientist roles at Jago and DANA.

Academy Journal

Insights for data learners

Practical frameworks from live Digica sessions — SQL, analytics, data science, and career moves. Short reads, no fluff.

SQL

How Much SQL Do You Really Need?

You do not need every advanced trick on day one. A small, solid set of skills already unlocks most beginner and mid-level data work.

2 min readOctober 21, 2026
Analytics

Ask Better Questions Before You Open the Data

A vague request produces a vague dashboard. Clear questions are the cheapest way to make analysis useful.

1 min readOctober 20, 2026
Data Science

When You Do Not Need Machine Learning

A model is a tool, not a default. Many useful data problems are solved with clear rules, solid metrics, and simple analysis.

2 min readOctober 19, 2026
View all articles
FAQ

Frequently askedQuestions

For any unanswered questions, reach out to our support team via email. We'll respond as soon as possible to assist you.

It's your time now!

Start your data career today

Join a practical bootcamp, work on real projects, and build a portfolio that shows hiring managers you can deliver.

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