Big Data Analysis Engineer Certification

Overview of the Big Data Analysis Engineer Certification
- The Big Data Analysis Engineer certification is a nationally recognized qualification in South Korea, validating a professional level of data analytics capabilities.
- Introduced in 2019, this certification assesses expertise in extracting valuable insights from large datasets and making data-driven predictions and decisions.
- It is managed separately from similar certifications like ADP and ADsP, and is considered to have a high level of difficulty and specialization. Jointly administered by the Ministry of Science and ICT and Statistics Korea, it is conducted by the Korea Data Agency (KDATA).
Course Introduction
- This course is designed for those aiming to obtain the Big Data Analysis Engineer certification.
- The primary objective is to systematically provide both the theoretical knowledge and the practical skills required to succeed on the certification exam.
- Covering a broad range of topics from fundamental data analysis concepts to advanced analytical techniques and test-taking strategies, the course offers comprehensive exam preparation.
- Participants will gain a thorough understanding of the entire big data analytics process and learn how to effectively use various analytical tools.
Target Audience
- Open to anyone (no prerequisites required)
- This course is geared toward beginners and includes step-by-step instruction from basic Python syntax to advanced libraries.
Requirements
- Students: Personal laptop
- Institution: Classroom (internet access, HDMI, projector)
- All additional resources needed (account setup, power strips, etc.) are provided and prepared by AI Castle.
Curriculum
- This course is optimized for 48 hours of instruction.
- A minimum of 30 hours and up to 60 hours is recommended.