THIS COURSE INTRODUCES THE KNOWLEDGE AND TECHNIQUES IN DATA ANALYTICS PROCESS WITH
SOME THEORETICAL FOUNDATIONS WHICH INCLUDE USEFUL STATISTICAL AND MACHINE LEARNING
CONCEPTS SO THAT THE PROCESS CAN TRANSFORM HYPOTHESES AND DATA INTO ACTIONABLE
PREDICTIONS. THE COURSE PROVIDES BASIC PRINCIPLES ON IMPORTANT STEPS OF THE PROCESS
WHICH INCLUDE DATA COLLECTING, ORGANISING, ANALYSING, BUILDING PREDICTIVE MODELS AND
PRESENTING RESULTS. SAS PROGRAMMING LANGUAGE AND STATISTICAL ANALYSIS TECHNIQUES ARE
INTRODUCED BASED ON EXAMPLES FROM OPERATIONS, MARKETING, BUSINESS INTELLIGENCE AND
DECISION SUPPORT ALONGSIDE SUSTAINABILITY, ETHICAL AND ENTREPRENEURSHIP ELEMENTS.
SOME THEORETICAL FOUNDATIONS WHICH INCLUDE USEFUL STATISTICAL AND MACHINE LEARNING
CONCEPTS SO THAT THE PROCESS CAN TRANSFORM HYPOTHESES AND DATA INTO ACTIONABLE
PREDICTIONS. THE COURSE PROVIDES BASIC PRINCIPLES ON IMPORTANT STEPS OF THE PROCESS
WHICH INCLUDE DATA COLLECTING, ORGANISING, ANALYSING, BUILDING PREDICTIVE MODELS AND
PRESENTING RESULTS. SAS PROGRAMMING LANGUAGE AND STATISTICAL ANALYSIS TECHNIQUES ARE
INTRODUCED BASED ON EXAMPLES FROM OPERATIONS, MARKETING, BUSINESS INTELLIGENCE AND
DECISION SUPPORT ALONGSIDE SUSTAINABILITY, ETHICAL AND ENTREPRENEURSHIP ELEMENTS.
- Lecturer: DR. ALDOWAH HANAN AHMAD YAHYA
- Lecturer: DR. CHEANG PECK YENG SHARON
Skill Level: Beginner