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AI Vibe Coding for Python Financial Analysis

Sessions 1 day
Duration 15 hrs
Level Intermediate
Assessment NA

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.

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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.

AI Vibe Coding for Python Financial Analysis

Course Code: C188

AI Vibe Coding Series

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Turn Python into your financial analysis toolkit with AI Vibe Coding for Python Financial Analysis. This hands-on 2-day course teaches you how to use AI coding assistants such as Cursor, GitHub Copilot and Claude to analyse financial data with Python. Instead of memorising pandas syntax and formulas, you will vibe code — describing the analysis you want in plain language and letting AI generate, explain, refactor and fix the Python code while you stay in control of the financial logic and interpretation.

Through practical exercises with real market data, participants will import and clean financial datasets, compute returns, volatility and risk metrics, analyse price time series, evaluate and optimise portfolios, backtest simple trading strategies, and publish an interactive financial dashboard on Streamlit — all with an AI pair programmer at their side. You will also learn to review, test and improve AI-generated analysis code so your numbers are correct and your conclusions hold up. By the end of the course, you will be able to deliver useful financial analysis in Python faster with an effective AI vibe-coding workflow.

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Python Programming for Finance

Course Fee

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate

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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 Getting Started with AI Vibe Coding for Financial Analysis

Introduction to Python for Financial Analysis
Setting Up Python and AI Coding Assistants (Cursor, GitHub Copilot, Claude)
Working with Financial Data in Pandas
Importing Market Data from APIs and Files

Topic 2 Analysing Financial Data with AI

Cleaning and Transforming Financial Datasets
Computing Returns, Volatility and Risk Metrics
Time Series Analysis of Stock Prices
Visualising Financial Data with AI-Generated Charts

Topic 3 Portfolio and Investment Analysis with Vibe Coding

Measuring Portfolio Returns and Diversification
Portfolio Optimisation with AI Assistance
Backtesting Simple Trading Strategies
Evaluating Performance and Drawdowns

Topic 4 Building Financial Dashboards and Reports

Automating Financial Reports with Python
Building an Interactive Finance Dashboard on Streamlit
Reviewing and Improving AI-Generated Analysis Code
Deploying and Sharing Your Financial Analysis App

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you wrte us a Google review.

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

Software:

Download and Install the following software

Hardware: Window or Mac Laptops

Job Roles

Aspiring Software Developer
Data Analyst
Web Developer
Automation Engineer
Data Scientist
System Administrator
Bioinformatics Specialist
Research Scientist
Finance Professional
Machine Learning Enthusiast
GIS (Geographic Information System) Specialist
IT Consultant
Network Engineer
Database Administrator
Tech Entrepreneur.

Trainers

Ken Yuen is an ACTA-certified adult educator specializing in STEM education, IoT systems, and programming. With a background in electrical and electronics engineering from NTU, he has conducted WSQ and SkillsFuture courses in Arduino, Raspberry Pi, micro:bit, Jetson Nano, and Python. He is also a registered MOE instructor, having taught coding and robotics programs in over 50 schools, equipping students and professionals alike with practical IoT and programming skills. In his IoT courses, Ken focuses on hands-on experimentation with microcontrollers, sensors, and automation systems. His prior experience as a Technical Consultant at Anson Engineering saw him develop IoT-based SCADA and temperature monitoring systems for industrial applications, giving him strong industry insight. By blending educational expertise with technical project experience, Ken ensures learners develop the confidence to build, test, and apply IoT solutions in real-world contexts.

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.

Truman Ng is a ACTA certified trainer that graduated with Bachelor Degree in Electrical Engineering from NUS in year 2002. He designed Artificial Intelligence (AI) controller for DC-DC Power Convertor by using Fuzzy Logic and Neural Network (NN) as his university Final Year Project.
Truman has over 15 years project experiences across Database & Web Design, PLC machinery, Data Center Design , Structure Cabling System(SCS) and Enterprise Network Design and Implementation. He used to be a network architect for Hewlett Packard, working with a group of virtual team from the US in handling network design and projects in the States.
Truman is the founder of Nexplore (S) Pte Ltd. He provides solutions of Cloud SaaS, IaaS & PaaS and Software Defined Network (SDN), VoIP and Internet Security. He was engaged by Huawei Global Training Center to provide 60+ consultations and trainings for Internet Service Providers(ISP) from Malaysia, Singapore, Brunei, Philipines, Australia, Poland, Iran, South Africa, Swaziland, Cote Dlvoire, Syria, Uzbekistan, New Zealand and countries over the world.As achievement, Truman has successfully completed 100+ IT network projects for Bank, Hotel and Factory within 5 years.Truman is certified in PMP, Cisco CCNP, CCIP, CCDP, HP Ase and Huawei HCNP, HCIE R&S, HCNA Cloud, HCNA Security, etc.

Marcel Leng is an ICT professional and educator with strong expertise in machine learning, cryptography, and applied mathematics. He has conducted extensive research and training in AI, data science, and quantum algorithms, and has guided learners in applying advanced computational tools to real-world security challenges.