Data Science Course — Data Analytics & Artificial Intelligence
Learn Data Science from the Basics to Mastery with Experienced Instructors
Data Science is a core skill that companies seek to transform raw data into insights and business decisions. Demand for talent skilled in Data Science continues to rise alongside the adoption of AI and data-driven decision making across various industries. The Data Science course from Cerdas Inovasi Digital is designed for participants in Yogyakarta and throughout Indonesia who want to master Data Science systematically, practically, and through hands-on practice — relevant to the needs of the data science, AI engineering, and business intelligence industries.
Why Learn Data Science Now?
- Process and analyze data using Data Science systematically
- Build models and pipelines that can be applied to real-world data
- Make data-driven business decisions, not assumptions
- Prepare a data science/AI project portfolio for job applications
- Open career opportunities as a data analyst, data scientist, or AI engineer
What You Will Learn
The Data Science course material is structured progressively to be easily followed by both beginners and professionals looking to deepen their skills:
- Data preparation and preprocessing before analysis
- Implementation of Data Science in real-world case studies
- Evaluation and optimization of model performance
- Visualization of analysis results for easy stakeholder understanding
- Best practices for project deployment and documentation
Each participant completes a final project using Data Science that can be used directly as a portfolio piece or applied at work.
Class Levels & Curriculum Structure
The Data Science course is available in several levels according to your needs and available learning time:
- Basic (10 sessions @ 1.5 hours) — introduction and fundamentals of Data Science
- Intermediate (20 sessions @ 1.5 hours) — workflows and intermediate-level case studies
- Advanced (30 sessions @ 1.5 hours) — advanced techniques and larger-scale projects
- Master (40 sessions @ 1.5 hours) — professional best practices and real-world case studies
- Expert (50 sessions @ 1.5 hours) — advanced problem solving and portfolio preparation
- Ultimate (60 sessions @ 1.5 hours) — complete program up to final project and career preparation
