Training Level

Advanced

Training Duration (Days)

5

Training Mode

  1. Physical Classroom
  2. Physical Classroom & Online

Prerequisite

  1. Basic data science knowledge
  2. Computer programming

Career Track

  1. Data Scientist
  2. Data Engineer

Industry Skill
Framework

Accreditation Body

Universiti Malaysia Sarawak

Skill Outcome

By the end of this course, you will be able to:

  1. Explain the fundamental concept of data science and the life cycle of the data mining process.
  2. Process, normalize, transform, and clean data through statistical and supervised approaches.
  3. Select the appropriate visualization techniques to interpret and describe data.
  4. Rationally select and use the appropriate supervised and unsupervised machine learnings on data to discover insights, trends, classifications and descriptions.
  5. Perform systematic evaluation on different training models and to justify the outcomes.
Register