Introduction to Python Programming Training Course – KHDA Approved Program

Master Python programming fundamentals—from core syntax and logical thinking to data handling, automation, and application development. Learn to write clean, efficient code, build practical programs, and automate real-world tasks using industry-relevant tools and workflows. This KHDA-approved Python training program equips you with job-ready programming skills aligned with industry standards and supports Dubai’s growing demand for software, data, and technology professionals.

Course Duration: 15 Weeks to 20 Weeks

Delivery Mode:Classroom / Online / Blended

Introduction to Python Programming Training Course – Program Overview

The Python Programming Training Program is a 15–20 week (60-hour) practical course designed to develop strong programming and problem-solving skills using one of the world’s most widely used languages. Learners gain hands-on experience in core programming, data handling, automation, and application development through guided exercises and real-world scenarios using tools such as Visual Studio Code, PyCharm, and MySQL Workbench. The program combines technical foundations with logical thinking and practical implementation, ensuring readiness for modern technology environments. Graduates can apply Python across roles in software development, data analysis, automation, artificial intelligence, and cybersecurity within Dubai’s rapidly expanding digital economy.

Introduction to Python Programming Training Course in Dubai - Who is it for?

Skills You’ll Develop with Our Introduction to Python Programming Training Course in Dubai

Gain essential technical and problem-solving skills that prepare you to apply Python across software, data, and automation roles.
Programming Fundamentals
Learn core syntax, variables, data types, loops, and functions to build a strong coding foundation.
Develop the ability to break down problems and design efficient solutions using structured logic.
Data Handling
Work with files, lists, dictionaries, and basic data processing techniques used in real applications.
Automation with Python
Create scripts to automate repetitive tasks and improve productivity in everyday workflows.

Software, Tools, Languages & Frameworks

Python
Visual studio code
PyCharm
Jupyter Notebook
Git
Command Line / Terminal
pip (Python Package Manager)
Anaconda
Tkinter
SQLite

Introduction to Python Programming Training Course Curriculum

  • Introduction to programming   
  • Installing Python and setting up environment   
  • What is python, use of python   
  • Writing and executing Python scripts   
  • Basic syntax, comments, and indentation   
  • Using Jupyter Notebook and IDEs 
  • Declaring variables    
  • Data types: int, float, string, boolean   
  • Type conversion and casting    
  • Arithmetic, comparison, and logical operators    
  • String operations 
  • If, elif, else statements   
  • for and while loops   
  • Nested loops   
  • break, continue, pass statements   
  • Loop control examples 
  • Defining and calling functions   
  • Arguments, return values   
  • Variable scope   
  • Lambda functions   
  • Introduction to modules and importing libraries   
  • Create your own modules and import 
  • Lists: creation, indexing, slicing, methods   
  • Tuples: immutability and operations  
  • Sets: uniqueness and set operations   
  • Dictionaries: key-value pairs, methods   
  • Nested data structures 
  • Opening, reading, and writing files   
  • Working with text and CSV files   
  • Using ‘with’ statements   
  • Exception handling: try, except, finally   
  • Raising and catching exceptions 
  • Concept of OOPS, different features  
  • Classes and objects   
  • Attributes and methods   
  • Inheritance and polymorphism   
  • Encapsulation, Private, public, protected   
  • Practical OOP examples 
  • Installing libraries using pip   
  • Introduction to NumPy, Pandas, and Matplotlib   
  • Importing and using built-in packages   
  • Creating your own modules 
  • Loading and inspecting datasets with Pandas   
  • Basic data cleaning and filtering   
  • Simple plots using Matplotlib   
  • Real-world data analysis mini tasks 

Apply all concepts in practical coding scenarios.   

  • Mini Project 1: Personal expense tracker   
  • Mini Project 2: Simple calculator or quiz app   
  • Mini Project 3: Real time Data analysis on Stock market data, Weather data, Patient data   
  • Hands-on coding assessments   
  • Code review and feedback 

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