IBF - AI Assisted Python Programming for Finance

Topic 1: Introduction to Python Programming

• Business requirements and objectives
• Applications of Python programming to meet business requirements
• Install Python and Setup Python IDE

Topic 2: Data Types and Operators

• Data Types
• Operators

Topic 3: Problem Solving with Control Structures

• Problem solving with conditional and loop techniques
• Coding using comprehensions

Topic 4: Scripting with Function and Lambda

• Create Python functions to meet business use cases
• Lambda function and its applications

Topic 5: Error Handling Using Exception

• Exceptions versus Syntax Errors
• Handle Exceptions with Try and Except blocks
• The Else clause
• Clean up with Finally

Topic 6: Import and Process Finance Data

• Data analysis using Pandas package
• DataFrame and Series data structures
• Import finance data
• Filter and slice finance data
• Clean missing data

Topic 7: Aggregate and Visualize Finance Data

• Join finance data with concat, append and merge
• Aggregate data with groupby and pivot table
• Assess codes to identify gaps
• Test and visualize finance data

Topic 8: Object Oriented Programming

• Introduction to Object Oriented Programming
• Create Class and Objects
• Method and Overloading
• Initializer & Destructor
• Inheritance
• Polymorphism

Topic 9: Analyze Finance Data

• Improve codes with pipe and apply
• Applications of statistics
• Analyse finance data to track any changes

Promotion Code

Promo or discount cannot be applied to IBF-STS courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Softtware: Windows / Mac

Hardware: Laptop

Self-Sponsored Individuals

• Up to 70% subsidy is available for Singapore Citizens and Permanent Residents of Singapore, physically based in Singapore. GST funding support will no longer be applicable for all courses.

Company-Sponsored Individuals

• Up to 70% subsidy is available for Singapore Citizens and Permanent Residents of Singapore, physically based in Singapore. Please note:
• The company must be a Financial Institution regulated by MAS or a FinTech firm certified by Singapore FinTech Association (SFA)
• To register, please email your company name and your name to reachus@knowledgehut.com.sg.
• For more information on the IBF subsidies and eligibility, please visit:  https://www.ibf.org.sg/programmes/Pages/IBF-STS.aspx

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

• Financial Data Analyst
• Python Developer for Financial Services
• Finance Software Engineer
• Quantitative Analyst
• Financial Systems Analyst
• Risk Management Specialist
• Investment Analyst
• Data Scientist in Finance
• Algorithmic Trading Developer
• Financial Application Developer
• Fintech Developer
• Portfolio Manager
• Credit Risk Analyst
• Financial IT Project Manager
• Treasury Analyst
• Compliance Analyst
• Financial Planning and Analysis Analyst
• Market Research Analyst
• Business Intelligence Analyst in Finance
• Financial Operations Analyst

Dr. Alvin Ang: Dr. Alvin Ang is a data scientist and educator with a PhD in Operations Research, specializing in quantitative methods, machine learning, and applied data analytics. He has extensive experience in research and teaching, combining academic rigor with practical applications in data-driven decision-making. At Tertiary Infotech, he has designed and delivered WSQ courses in data science, Python programming, and AI, equipping learners with the ability to transform raw data into actionable insights.

As an ACLP-certified trainer, Dr. Ang focuses on applied learning in data science and AI, emphasizing real-world case studies and hands-on exercises. His teaching equips participants with both the conceptual understanding and technical proficiency to apply data visualization, predictive modeling, and AI techniques in the workplace. By bridging theory and practice, he ensures learners can confidently leverage analytics and AI to drive organizational performance.

Terence Ee: Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms.

As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.

Teddy Yip Fook Khi: Teddy Yip Fook Khi is a business consultant and corporate trainer with over 25 years of experience in financial management, process improvement, and digital transformation. He holds a Master of Science in Finance and Controlling and is a certified WSQ Advanced Certificate in Learning and Performance (ACLP) trainer. Teddy has delivered training in data analytics, financial modelling, and Python programming for business professionals across various industries, helping organizations modernize their workflows through technology-driven solutions. His expertise lies in combining financial analysis with automation and data-driven decision-making to enhance productivity and business insight.

In the Basic Python Programming for Financial Services course, Teddy focuses on helping learners apply Python to solve real-world financial problems such as data manipulation, forecasting, and performance analysis. His sessions emphasize hands-on coding and analytical exercises, bridging financial concepts with programming fundamentals. Learners gain the practical skills to automate reporting, analyze datasets, and improve efficiency within financial operations.

Noel Lou: Noel Lou is a financial technology professional and data analytics educator with deep expertise in quantitative analysis, financial systems, and programming for business applications. He has extensive experience implementing analytics solutions and automation tools for the finance and banking sectors, leveraging Python, SQL, and Excel VBA to optimize data workflows and reporting accuracy. As an ACLP-certified trainer, Noel has designed and delivered professional courses in data analytics, programming, and digital transformation for both public and corporate clients. His ability to translate complex technical concepts into simple, practical lessons has made him a highly sought-after instructor among finance professionals.

In this course, Noel teaches learners how to apply Python programming to streamline financial operations and derive insights from data. His structured, hands-on approach helps participants build confidence in coding fundamentals, data cleaning, and visualization using libraries such as Pandas and Matplotlib. Learners complete real-world exercises that simulate financial analysis and automation tasks, equipping them with the skills to enhance data accuracy and efficiency in financial environments.

Dr. Alfred Ang: Dr. Alfred Ang is a veteran technology educator and entrepreneur with over 25 years of experience in IT, artificial intelligence, and financial systems. He holds a PhD in Electrical Engineering from the National University of Singapore, an MEng from NTU, and an MBA from Universitas 21 Global. As the Founder and Managing Director of Tertiary Infotech Pte. Ltd., Dr. Ang has developed and delivered numerous accredited programs in data analytics, AI, and programming for financial services. His expertise bridges academic research and industry practice, with a strong focus on the practical application of emerging technologies to enhance business intelligence and performance.

In the Basic Python Programming for Financial Services course, Dr. Ang helps learners build a solid foundation in Python for data processing, automation, and analysis. His sessions focus on the use of Python to manage datasets, perform trend analysis, and model financial outcomes. Through his structured and interactive approach, participants gain both technical proficiency and analytical insight to apply programming skills effectively in finance-related tasks and decision-making processes.