THIS COURSE EXPLAINS THE SCIENTIFIC PROCESS OF TRANSFORMING DATA INTO INSIGHTS FOR ANALYTICS-DRIVEN BUSINESS DECISION MAKING. IT COVERS THE METHODOLOGIES, ISSUES, AND CHALLENGES RELATED TO ANALYSING BUSINESS DATA. IT PREPARES STUDENTS TO UNDERSTAND BUSINESS ANALYTICS AND BECOME LEADERS IN THESE AREAS. STUDENTS WILL LEARN TO APPLY ANALYTICAL TOOLS, ALGORITHMS AND METHODOLOGIES TO SOLVE BUSINESS PROBLEMS. STUDENTS WILL ALSO GO DEEPER INTO ADVANCED INVESTIGATIVE AND COMPUTATIONAL METHODS FOR DEVELOPING THEIR PERSONAL ANALYTICAL SKILLS AND PERSPECTIVES. RAPIDMINER OR OTHER POTENTIAL ANALYTICAL TOOLS WILL BE USED WHENEVER APPLICABLE BASED ON SIMULATED BUSINESS EXAMPLES.
- Lecturer: DR. AISYAH BINTI ISMAIL
- Lecturer: DR. NG WEI CHIEN
- Lecturer: PROFESOR MADYA DR. TEH SIN YIN
THIS COURSE AIMS AT PROVIDING THE STUDENTS WITH BOTH THE GENERAL PROGRAMMING CONCEPTS AS WELL AS HANDS-ON SESSIONS ON PRACTICAL KNOWLEDGE IN PYTHON OR R FOR BUSINESS AND MANAGEMENT APPLICATIONS. IT EQUIPS THE STUDENTS WITH SKILLS TO DESIGN AND WRITE ALGORITHMS, AS WELL AS TO USE THE AVAILABLE PYTHON OR R PACKAGES, FOR DECISION MAKING TO SOLVE BUSINESS AND MANAGEMENT PROBLEMS.
THE COURSE ALSO EXPLAINS THE PREDICTIVE MODELLING TECHNIQUES AND THEIR CORE PRINCIPLES, WHEREBY STUDENTS WILL LEARN A SOLID FOUNDATION OF PREDICTIVE ANALYTICS, WHICH REFERS TO TOOLS AND TECHNIQUES FOR BUILDING STATISTICAL OR MACHINE LEARNING MODELS TO MAKE PREDICTIONS BASED ON THE BUSINESS DATASETS. THE TECHNIQUES DISCUSSED ARE APPLIED IN ALL FUNCTIONAL AREAS WITHIN BUSINESS ORGANIZATIONS INCLUDING TALENT MANAGEMENT, FINANCE, INTERNATIONAL BUSINESS, ACCOUNTING, MARKETING AND OPERATIONS MANAGEMENT. STUDENTS WILL ABLE TO DETERMINE WHAT KINDS OF PREDICTIONS THEY CAN MAKE TO CREATE FUTURE STRATEGIES AND BE PREPARED TO TAKE FULL ADVANTAGE OF ANALYTICS TO CREATE EFFECTIVE DATA-DRIVEN BUSINESS DECISIONS.
THE COURSE ALSO EXPLAINS THE PREDICTIVE MODELLING TECHNIQUES AND THEIR CORE PRINCIPLES, WHEREBY STUDENTS WILL LEARN A SOLID FOUNDATION OF PREDICTIVE ANALYTICS, WHICH REFERS TO TOOLS AND TECHNIQUES FOR BUILDING STATISTICAL OR MACHINE LEARNING MODELS TO MAKE PREDICTIONS BASED ON THE BUSINESS DATASETS. THE TECHNIQUES DISCUSSED ARE APPLIED IN ALL FUNCTIONAL AREAS WITHIN BUSINESS ORGANIZATIONS INCLUDING TALENT MANAGEMENT, FINANCE, INTERNATIONAL BUSINESS, ACCOUNTING, MARKETING AND OPERATIONS MANAGEMENT. STUDENTS WILL ABLE TO DETERMINE WHAT KINDS OF PREDICTIONS THEY CAN MAKE TO CREATE FUTURE STRATEGIES AND BE PREPARED TO TAKE FULL ADVANTAGE OF ANALYTICS TO CREATE EFFECTIVE DATA-DRIVEN BUSINESS DECISIONS.
- Lecturer: DR. ALDOWAH HANAN AHMAD YAHYA
- Lecturer: PROFESOR MADYA TS. DR. KHAW KHAI WAH
