Overview
Python is one of the most in-demand programming languages today, valued for its versatility, readability, and wide application across industries. Whether you’re a beginner or have some coding experience, this 3-day course equips you with the skills to confidently write Python programs, work with data, and automate everyday tasks.
Through hands-on coding, real-world exercises, and guided projects, you’ll cover Python fundamentals, control flow, functions, and data structures before progressing to file handling, object-oriented programming (OOP), and debugging. You’ll also learn how to use external libraries like Pandas for data analysis, perform web scraping, and automate Excel reporting.
The course is designed for practical application — ensuring that by the end, you can not only understand Python syntax but also apply it to solve real problems, improve workflows, and create scalable solutions.
Objectives
Python syntax and core concepts
Variables, data types, and operators
Conditionals and loops
Functions and error handling
Lists, tuples, dictionaries, and sets
File handling and module imports
OOP: classes, inheritance, encapsulation
Debugging and exception handling
Pandas for data manipulation and analysis
Web scraping with BeautifulSoup
Excel automation with openpyxl
Who Should Attend
Beginners looking to learn Python from scratch
Professionals aiming to use Python for data handling or automation
Analysts and engineers seeking to enhance technical skills
Anyone pursuing a career in software development or data analytics
Prerequisites
Basic computer literacy
No prior programming experience required
Course Details
Python Fundamentals & Basic Programming
Introduction to Python – Overview, setup, and running Python scripts.
Variables, Data Types, and Operators – Core data handling and operations.
Control Flow: Conditionals & Loops – Writing logic-driven code.
Functions and Error Handling – Modular programming and handling exceptions.
Data Structures, File Handling & Modules
Data Structures in Python – Lists, tuples, dictionaries, and sets.
Working with Files & Modules – Read/write files and import modules.
Object-Oriented Programming (OOP) in Python – Classes, inheritance, and encapsulation.
Debugging & Exception Handling – Troubleshooting and logging.
Intermediate Concepts & Real-World Applications
Working with External Libraries – Installing and using Python packages.
Basic Data Analysis with Pandas – Filtering and transforming data.
Automating Tasks with Python – Web scraping and Excel automation.
Final Project & Course Recap – Apply all skills in a real-world project.
"Write and deploy Python programs to automate up to 50% of repetitive tasks, improve data handling speed, and reduce manual processing errors."
Real-World Career Impact
This course prepares you for roles such as Junior Python Developer, Data Analyst, Automation Specialist, or Software Engineer — all in high demand across multiple industries.
Certification Guide
No specific exam provided
Frequently Asked Questions
Do I need prior coding experience to join?
No — this course is designed for beginners and progresses to intermediate concepts.
Will I be coding during the course?
Yes, it’s hands-on with coding exercises, challenges, and a final project.
What practical applications will I learn?
You’ll automate Excel reports, perform web scraping, and analyze data with Pandas.
Is this course suitable for non-IT professionals?
Absolutely — many attendees come from business, finance, and analytics backgrounds.
What programming tools will I use?
You’ll work with Python in Jupyter, VS Code, or PyCharm IDEs.
Does the course cover debugging and troubleshooting?
Yes — you’ll learn techniques for identifying and fixing errors efficiently.
How can Python skills benefit my career?
Python is used in data analysis, web development, automation, AI, and more — making you more competitive in the job market.
Is this course HRDC claimable?
Yes, for eligible Malaysian employers.
Can I opt for private, in-house training?
Yes, we can deliver customized sessions for your team.
Is the course customizable for my industry?
Definitely — we adapt exercises and examples to your sector.
Trainer Details
Training Date:
22-24 Sep 2025
Class Status:
PENDING
Dr. Mohammed Muayad
Dr. Mohammed Muayad Abdul Razzaq, also known as Dr. Obay, is a Ph.D. holder in AI with over 20 years of IT and academic experience. A seasoned international trainer and speaker, he specializes in Data Science, Machine Learning, Generative AI, and Big Data, empowering thousands of professionals across industries and universities.
Training Date:
20-22 Oct 2025
Class Status:
CONFIRMED
Arman Rasouli
Arman Rasouli is a software engineer, IT trainer, and ed-tech innovator with over eight years of experience. Specializing in DevOps, cloud computing, and AI-driven learning solutions, he has built transformative educational platforms and conducted hands-on boot camps, empowering learners and organizations to harness emerging technologies effectively.