Data Analyst Course — Data Analytics & Artificial Intelligence
Learn Data Analyst from Basics to Mastery with Experienced Instructors
Data Analyst is a core skill sought by companies to transform raw data into insights and business decisions. The demand for talent proficient in Data Analyst continues to grow alongside the adoption of AI and data-driven decision making across various industries. The Data Analyst course from Cerdas Inovasi Digital is designed for participants in Yogyakarta and throughout Indonesia who want to master Data Analyst systematically, practically, and through hands-on practice — relevant to the needs of data science, AI engineering, and business intelligence industries.
Why Learn Data Analyst Now?
- Process and analyze data using Data Analyst systematically
- Build models and pipelines applicable to real-world data
- Make business decisions based on data, 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 Analyst course materials are structured progressively to make them easy to follow for both beginners and professionals looking to deepen their skills:
- Data preparation and preprocessing before analysis
- Implementation of Data Analyst in real case studies
- Model performance evaluation and optimization
- Visualization of analysis results for easy stakeholder understanding
- Best practices for project deployment and documentation
Every participant completes a final project using Data Analyst that can be directly used as a portfolio piece or applied in the workplace.
Class Levels & Curriculum Structure
The Data Analyst 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 Analyst
- 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 through final project and career preparation
