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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 Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
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

Jason LIm is native of Kuala Lumpur, Malaysia; studied Bachelor’s Degree in Accounting and Finance from the London School of Economics Program, University of London. Raised in a typical Chinese family with entrepreneurial business background that is involved in manufacturing and real estate development. He worked as an Executive at the Asset and License Management Department in Standard Chartered, Malaysia; promoted to Data Analyst six months later. Later joined Tune Hotels Regional Services, a hotel management and hotel chain operator; served as Senior Revenue Executive. Served as Research Analyst with Wealth-X, a company that provides prospecting, intelligence and wealth due diligence on ultra-high net worth individuals.; Thereafter served as Senior Data Analyst with Xchanging Malaysia, a joint venture between Xchanging and YTL Communications to develop and deliver enhanced mobile internet and cloud-based hosting offerings in Malaysia. Worked as Senior Data Analyst with GoQuO, a full service e-commerce solutions provider to airlines and OTAs. Currently serving as Senior Data Analyst at iProperty.com Malaysia, an property website in several Asian countries. Community Organizer of Big Data Malaysia, a professional network for individuals with interest in all aspects of Big Data, and Member of the Founder Institute for Malaysian Chapter, the world’s largest entrepreneur training and startup launch program.