RISE for Financial Services - Data Analytics (Module 2: Advanced Data Analytics in Financial Services (Synchronous e-learning))
About This Course
LO1: Identify patterns from data using statistical approach
LO2: Understand key business processes within the organization and identify proper machine learning algorithms to support each
LO3: Perform exploratory data analysis and identify patterns from datasets
LO4: Develop common machine learning algorithms
LO5. Draw new business insights from analytic results and determine impacts
LO6. Implement data analytics on real business problem statement and demonstrate insights with standard visualization
LO7: Describe ethical conduct within an organization and manage data according to key principles
What You'll Learn
The content is contextualised to the Financial Services sector.
Upon completion of this unit, learners will be able to develop, apply and evaluate algorithms, as well as identify and mitigate ethical challenges in handling the data. They will be able to apply and uphold principles of professional, legal and ethical conduct, policies and procedures in the handling of data.
Entry Requirements
Mid-career individuals who are passionate about pursuing a technology career in the Financial Services sector and who satisfy the following requirements:
• Singapore Citizen or Singapore Permanent Resident
• Minimum 21 years old
• Possess a tertiary qualification (Diploma/Degree)
• No prior work experience in the technology area of Data Analytics
• If you are accepted into the program via a partner such as Institute of Banking and Finance, you are required to meet any additional requirements (including technical screening) that they may put in place