Overview
| Reference No |
TGS-2023021721
|
| Part of |
-
|
| Duration |
3 days
|
| Course Time |
9:00am - 5:00pm |
| Enquiry |
Please email ask-iss@nus.edu.sg for more details
|
The growing importance of a data-driven approach in the financial sector has led to an increased demand for specialists in alternative data analysis and management. In this course, we will explore the intersection of fintech and alternative data, examining the ways in which companies are using data-driven approaches to innovate in the financial services sector.
This course on ‘Alternative Data for FinTech Innovation’ can help participants understand how to make sense of alternative data and use them to make scalable and informed decisions in financial services - such as credit, insurance or investments, while also exploring use cases outside the domain of financial services.
The lessons and workshops will provide context and an end-to-end view of alternative data initiatives, then focus on how to identify, evaluate, and analyse alternative data sets, as well as providing hands-on experience that combine techniques in predictive analytics, machine learning and big data. It will help participants understand how to access and interpret non-traditional data sources, such as social media, geolocation, telecoms, utilities, web traffic patterns etc. It also aims to fill the skills gap in the financial sector by training people in the latest tools and techniques for analysing and interpreting alternative data.
Participants who complete this course will be well-equipped to provide valuable insights to companies looking to gain this competitive edge in the financial space.