RISE for Financial Services - Data Analytics (Module 1: Foundations of Data in Financial Services (Synchronous e-learning))
About This Course
LO1: Use dashboard software to display business findings
LO2: Interpret data and graphics, and draw value-adding insights
LO3: Analyse data and communicate insights in the financial services context
LO4: Use programming tools to perform data collection
LO5: Perform standard data processing steps on datasets from disparate sources
LO6: Use database management system software to store and process data
LO7: Maintain database following standard guideline
LO8: Manage project timelines, resources, risks and stakeholders
LO9: Address challenges during a project and mitigate risks
LO10: Work effectively with project members and create high performing team environment in a financial institution
What You'll Learn
The content is contextualised to the Financial Services sector.
Upon completion of this course, learners will be able to select appropriate visualisation techniques and develop dashboards to reflect data trends and findings; utilise appropriate tools, systems and techniques to collect, store, extract, transform and load data according to set guidelines; and develop, apply and evaluate algorithms, predictive data modelling and data visualisation to identify underlying trends and patterns in 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