Overview
This course aims to equip learners with the knowledge and skills to develop python programs. Python is one of the most versatile software programming languages and is widely used in AI and machine learning. Its versatility also extends to business intelligence tools. This course will help learners learn the syntax and program logic techniques of python and apply it to creating data analysis routines as well as to use python libraries for data visualization in Power BI Desktop and Tableau
Course Description & Learning Outcomes
By the end of this course, learners will be able to:
Understand the characteristics of the programming language that is suitable for business use.
Apply best practice to create program designs and code structures and organisation.
Develop algorithm and data structure in python according to business requirements.
Apply multiple functions and libraries available in python on business requirements.
Resolve errors and bugs using problem-solving and error handling techniques in python.
Address business objectives and processes with python solution.
Incorporate program enhancements to produce desired outcome.
Apply code documentation for changes in code to address business changes.
Recommended Prerequisites
This training is relevant to all workers, PMETs, executives and professionals who are required to perform tasks automation and data analysis to engage with stakeholders and target audience to promote a business case as well as to present Management with business insights to facilitate decision making.
Academic Prerequisites
Workforce Skills Qualifications (“ES WSQ”) Workplace Literacy (“WPL”) level 3.
Be able to read and write English at a proficiency level equivalent to ES WSQ WPL level 3.
Be able to manipulate numbers at a proficiency level equivalent to ES WSQ Workplace Numeracy (“WPN”) level 3.
Learners to have minimum GCE ‘O’ level or ITE certificate education
Learner should have at least 1 year’s working experience in any industry.
Learners must be able to operate a personal computer, use keyboard and mouse
Schedule
Date: 02 Jun 2025, Monday
Time: 9:00 AM - 6:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 150 Orchard Road, Orchard Plaza #06-14, Singapore 238841, 238841
Date: 03 Jun 2025, Tuesday
Time: 9:00 AM - 6:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 150 Orchard Road, Orchard Plaza #06-14, Singapore 238841, 238841
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| Day Two | Applied Python for Data, Logic, and Automation |
| Unit 4 | Understand Python Programming Syntax with Functions and Libraries for Data Analysis |
| Unit 5 | Create Routines for Problem-Solving and Error Handling with Conditional Statements |
| Unit 6 | Create Different Loop Routines with Variables in Python |
| Day One | Foundations of Python and Programming Logic |
| Unit 1 | Understand the Concept of Software Development |
| Unit 2 | Enhance Programming Design Approach through Design and Scripting Tools like Pseudo-Code and Flowchart |
| Unit 3 | Understanding Different Data Structure Types and Variables in Python |
Pricing
Course fees: $234.00 Small Medium Enterprises (SMEs)
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Python (Proficiency level: Beginner)
- Python Imaging Library (PIL) (Proficiency level: Proficient)
Speakers
Trainer's Profile:
Bernard PEH, Associate Trainer/Developer , James Cook Institute
Senior Fund Manager, Financial Services Director, and Data Science Lead with 25+ years in financial services and 27 years in data science. Extensive experience in investments, insurance, business development, and MAS governance. Known for building and leading top-performing sales teams while integrating data science, algorithmic trading, and AI for strategic advantage. CTO of Merlion Edu Lab and Senior Partner at BigDataVC. ACLP-certified trainer, keynote speaker, and curriculum developer. Conducts training in Python, Power BI, Data Science, AI, and Analytics across NTUC Learning Hub, Marshall Cavendish, BELLS, and blue-chip firms. Trainer for WSQ-accredited courses. Passionate about education and equipping professionals with future-ready skills in data and finance. Bridging deep domain expertise with real-world tech application to drive innovation, insights, and results.
Partners
