Eligible funding partners. Terms and conditions apply:
SOCSO will fund up to RM4,000/pax for courses pursued by Employment Insurance Scheme (EIS) members who are receiving unemployment benefits. Selected courses offering certification are also eligible for funding up to RM7,000 under PENJANA 2.0 Hiring Incentive (except for max of RM4,000 for the apprentice category).
EIS Benefit Hiring Incentives Training Providers
The course is conducted by HRDF Registered Training Providers. HRDF registered employers are allowed to make claims for employees that take this course.
More Details
SOCSO will fund up to RM4,000/pax for courses pursued by Employment Insurance Scheme (EIS) members who are receiving unemployment benefits. Selected courses offering certification are also eligible for funding up to RM7,000 under PENJANA 2.0 Hiring Incentive (except for max of RM4,000 for the apprentice category)
The course is conducted by HRDF Registered Training Providers. HRDF registered employers are allowed to make claims for employees that take this course.
More DetailsTraining Level
Advanced
Training Duration (Days)
5
Training Mode
- Physical Classroom
- Physical Classroom & Online
Prerequisite
- Basic data science knowledge
- Computer programming
Accreditation Body
Universiti Malaysia Sarawak
Skill Outcome
By the end of this course, you will be able to:
- Explain the fundamental concept of data science and the life cycle of the data mining process.
- Process, normalize, transform, and clean data through statistical and supervised approaches.
- Select the appropriate visualization techniques to interpret and describe data.
- Rationally select and use the appropriate supervised and unsupervised machine learnings on data to discover insights, trends, classifications and descriptions.
- Perform systematic evaluation on different training models and to justify the outcomes.