SAS Korea is actively working to enhance the practical skills of university students and job seekers preparing to become data analysts.

SAS Korea announced on the 23rd that it is launching the 'SAS AI Data Analysis Job Course' in collaboration with SeSAC, a youth employment academy operated by the Seoul Metropolitan Government and the Seoul Business Agency (SBA), and is recruiting participants.

The training is completely free of charge, and support for obtaining certifications and job placement assistance is provided upon completion.

The training will be held at the Youth Employment Academy Gwanak Campus from July 20 to October 8, and applications are accepted until July 5 on the Sesac website (sesac.seoul.kr).

This course, planned and operated by SAS Korea, is intended for university students and job seekers preparing to become data analysts, as well as non-majors looking to build analytical skills from the basics and applicants looking to learn data platforms used in various industries such as finance, healthcare, manufacturing, and the public sector.

The course covers everything from the basics of AI and data analysis to practical applications.

The curriculum includes basic data literacy, data preprocessing using SQL and Python, and the data analysis tool SAS Enterprise Guide. It consists of the Guide, practical application of the visualization analysis tool SAS Visual Analytics, and predictive modeling.

Students are provided with the SAS analytics platform and educational AI services.

Upon completion, participants are provided with support for obtaining internationally recognized certifications and the opportunity to participate in the SAS data analysis competition, the 'SAS Hackathon,' as well as job placement assistance through SAS Korea's partner companies.

"Through our collaboration with Saessak, we have been able to provide training courses that enable young people dreaming of entering the data and AI fields to acquire practical skills," said Lee Joong-hyuk, CEO of SAS Korea. "We will continue to support various educational programs so that young people can frequently access the SAS analytics platform, which integrates with open-source languages such as Python and provides an operating environment using low-code and no-code methods."