Registration closes on 5 August 2024. Limited slots available.
Who is this course for?
Working professionals with roles in finance like financial analysts, executives, traders, portfolio managers or quantitative analysts.
Individuals looking to embark on an exciting journey towards the dynamic and rapidly expanding FinTech space.
Course Highlights
Experience in-depth lectures featuring real-world case studies, interactive discussions and hands-on practice.
Connect with senior industry practitioners through guest speaker sessions
Utilize Python to analyze complex data for decision making
Earn certification towards NUS-AIDF Professional Certificate in Investing using Machine Learning and Alternative Data
Note: Participants who have completed both “Finance with Python” and “Investing using Machine Learning and Alternative Data” will be awarded the “NUS Professional Certificate in Investing using Machine Learning and Alternative Data”.
Course Details
Learn relevant fundamentals of Python programming
Understand how to utilize Python to aid data-driven financial decision making
Tap on additional tools to supercharge application of Python
Harvest, understand, interpret, manipulate, and analyze financial data using Python
Course Fees
Course Fees (before SSG Funding): SGD 2,779.50
SkillsFuture Code: TGS-2022016677
This programme is eligible for subsidies under SkillsFuture Singapore (SSG). Singaporeans and Permanent Residents can enjoy subsidies up to 90%.
| Singapore Citizens & Permanent Residents aged 21 and above |
Singapore Citizens aged 40 years and above | International Participants | |
| Self-sponsored | SGD 833.85¹ | SGD 323.85² | SGD 2,779.50 |
| SME Company-sponsored | SGD 323.85² | SGD 323.85² | SGD 2,779.50 |
| Non-SME Company Sponsored | SGD 833.85¹ | SGD 323.85² | SGD 2,779.50 |
All fees stated above are net fees payable and include 9% GST. All Singaporeans aged 25 years old and above are eligible to claim their SkillsFuture Credits to further offset the net fees payable.
¹Up to 70% course fee funding
²Up to 90% course fee funding under MCES or ETSS
Course Outline
Course Instructors
Dr Yen Teik LEE
NUS Business School
Lee Yen Teik is a Senior Lecturer at NUS Business School. He is a teacher, researcher, and mentor in corporate and digital finance. Before joining NUS, Yen Teik was an Assistant Professor of Finance at the Asia School of Business and Shanghai University of Finance and Economics (SUFE), a Senior Lecturer at Curtin Singapore, and a visiting scholar at both New York University Stern School of Business and Cambridge Judge Business School. He is the recipient of the NUS Business School Teaching Excellence Award 2023, the SUFE Excellent Teachers Award 2015, and Society of Financial Studies Finance Cavalcade Best Paper in Corporate Finance Award 2013. His works have been featured on Kellogg Insight, BBC World Service, The Economist (blog), and The Columbia Law School (Blue Sky Blog), as well as published in the Journal of Corporate Finance, Journal of Accounting and Public Policy, and Journal of Management Studies, among others. Yen Teik received his PhD in Business (Finance) from Singapore Management University.
Dr Jinghao KE
CEO, JCube Institute
Dr. Jinghao Ke is the CEO of JCube Institute, recognised for delivering cutting edge, high-quality training and career coaching in Digital Skills Mastery such as Data Analytics, Business Analytics, Machine Learning and Deep Learning, amongst others. He advises, executes and provides training for MNCs and various Singapore Government agencies.
Dr. Ke received his Ph.D. in Business (Finance) from SMU with his research dissertation and interests in corporate finance, incentives design, social networks, corporate governance and natural language programming. He led and managed teams to design, construct and maintain corporate governance indices with SMU’s Sim Kee Boon Institute for Financial Economics. He is also involved in business consulting and data analytics projects for many SMEs through the UOB-SMU Asian Enterprise Institute.
Guest Speakers
Dr Paul CONDYLIS
Senior Data Science Leader and former CTO
Matt ZHANG
Chief Risk Officer, Keystone Investors
READY TO EMBARK ON YOUR JOURNEY?
Testimonials
I recently completed the 'Finance with Python' course in March. The instructors were excellent and started the course by polling the class to determine the pace of teaching. The course is well-structured, beginning with a day dedicated to the basics of Python programming, before moving on to portfolio optimization using Python. The instructors introduced new concepts gradually, building on them bit by bit.
Both instructors were knowledgeable and able to answer the more advanced questions posed by other participants in the course. Although the course was fast-paced, there were enough breaks in between to keep up with the pace. Overall, I found this course to be a great value for the money, considering the amount of knowledge gained. I highly recommend it to anyone interested in learning Python for finance.
Ang Chao Peng
(March 2023 cohort)
