The Junior Data Engineer program is designed to prepare entry-level professionals capable of building and operating foundational data infrastructure, including data collection, processing, storage, and data pipelines.

Through real-world use cases and hands-on practical assignments, learners develop essential technical skills for working with data in professional environments.

Who Should Attend

1. Students and graduates in IT, information systems, and engineering disciplines
2. Individuals with basic programming knowledge who are interested in transitioning into data engineering
3. Professionals aiming to work with organizational data infrastructure and ETL processes

Program Duration & Format

1. Total Duration: 4 months
2. Delivery Mode: 80% in-person + 20% online
3. Schedule: 2 sessions per week
4. Capstone: Mini project based on a practical, real-world case

The Junior Data Scientist program is designed to build foundational skills in data analysis, data modeling, and generating actionable insights from data.

Learners work with real-world datasets to systematically develop analytical thinking and data literacy.

Who Should Attend

1. Individuals with foundational knowledge in statistics, mathematics, economics, or IT
2. Professionals interested in transitioning into BI, analytics, or AI roles
3. Staff responsible for analyzing organizational data and producing reports

Program Duration & Format

1. Total Duration: 4 months
2. Delivery Mode: 80% in-person + 20% online
3. Schedule: 2 sessions per week
4. Capstone: Analytics project based on real-world data