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IBF - AI Assisted Python Programming for Finance

Sessions 4 days
Duration 32 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Download Course Brochure

Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

IBF - AI Assisted Python Programming for Finance

Course Code: TGS-2025052659

WSQ
SkillsFuture Credit
PSEA
UTAP
IBF
SFEC
Absentee Payroll
MCES

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This comprehensive course on Python Programming for Financial Services is designed from basic to advanced levels, targeting professionals looking to leverage Python for financial data analysis and software development within the finance sector. Participants will start with an introduction to Python programming, understanding its application in meeting business requirements, setting up Python IDEs, and diving deep into Python data types and operators. The course emphasizes practical problem-solving with control structures, scripting with functions and lambda expressions, and effective error handling techniques to manage exceptions.

As the course progresses, learners will gain hands-on experience in importing, processing, aggregating, and visualizing financial data using powerful Python libraries like Pandas. Key topics include object-oriented programming to enhance code efficiency, analyzing finance data with advanced statistical methods, and applying best coding practices for error detection and improvement areas. With a focus on real-world finance applications, this course ensures participants can confidently manage programming activities, document coding processes accurately, and apply systematic approaches to group coding outputs, preparing them for a successful career in the financial services industry..

Learning Outcomes

By end of the course, learners should be able to:

LO1: Gather and interpret business requirements of software through business use cases
LO2: Review and propose overall coding best practices to guide individuals in executing coding
LO3: Review and detect errors and areas for improvement within written codes and communicate accordingly
LO4: Test completed codes to identify gaps and possible improvement areas
LO5: Manage programming and coding activities and monitor outputs
LO6: Group coding outputs using a systematic approach
LO7: Ensure programming and coding documentation is accurate and complete

Brochure

Download WSQ - Basic Python Programming for Financial Services

About IBF Certification

This course address the following Technical Skills and Competences (TSCs) and proficiency level: FSE-DIT-3018-1.1 Programming and Coding-3 TSC under Financial Services Skills Framework

Participants are encouraged to access the IBF MySKills Portfolio https://www.ibf.org.sg/programmes/Pages/MySkills-Portfolio.aspx to track their training progress and skills acquisition against the Skills Framework for Financial Services. You can apply for IBF Certification after fulfilling the required number of Technical Skills and Technical Competencies (TSCs) for the selected job role.

Find out more about IBF certification and the application process at on https://www.ibf.org.sg/certification/Pages/Why-be-Certified.aspx.

Full Fee $2,000.00 Before GST

GST $180.00 9% of fee

Baseline Nett $1,180.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $780.00 SG age 40+ · 70% funded

IBF-STS Accrediation - Up to 70% Funding

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

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

Written Exam
Practical Exam

Course Info

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

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.

Job Roles

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

Trainers

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 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 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 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 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.