||24 Sep 2020 (Thu), 03:00 PM - 04:30 PM
||Online event via Zoom
||NTU Library & NTU Interactive Investment Club (NTU-IIC) (Email : email@example.com )
This workshop is an introduction to Python with application to S&P Capital IQ (CIQ) data. Learn how to apply Python on CIQ Financial Data and distinguish yourself when seeking employment from financial institutions and other organisations.
1. Introduction to Python, S&P Capital IQ (CIQ) Data, and potential use cases of Python on CIQ data
2. Introduction to basic Python formulae, hands-on with Python online editor and case studies
3. Other cool AI, machine learning, Tableau applications for financial data
Graduating finance students with little or no exposure to Python, however all are welcome.
Participants need to have a valid S&P Capital IQ account and have downloaded S&P Excel plug-in. To request for an account, please click here.
Lim Wei Wen, Product Specialist, S&P Global Market Intelligence
Wei Wen works closely with clients in creation of proprietary models and designing analytical solutions workflows. He has experience in product management for capital market segments and valuation models for bulge bracket investment banks.
Wakana Sakashita, Senior Application Specialist, Product & Content, S&P Global Market Intelligence
Wakana has more than 25 years of professional IT experience in a variety of integral client-facing senior technical and training roles. Based in Japan, she assists clients on a day-to-day basis in database/ API solutions workflow integration.
This event is organised in collaboration with NTU-IIC and S&P Global.
The event link will be emailed to registered participants one day before the event.
Registration for this event has closed.