Description
Course Duration
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Total Duration: 8–12 weeks (flexible learning options available)
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Mode of Delivery: Online/In-person/Hybrid
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Effort Required: 5–8 hours per week
Learning Objectives
By the end of this course, students will:
✔ Understand Python syntax and programming logic.
✔ Work with variables, operators, and data types.
✔ Use control structures (loops, conditionals).
✔ Implement functions and modules for reusable code.
✔ Handle files (read/write operations).
✔ Apply Object-Oriented Programming (OOP) concepts.
✔ Debug and optimize Python code.
Course Outline
Module 1: Introduction to Python
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Python history and features
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Setting up the Python environment (IDLE, PyCharm, Jupyter)
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Writing and running first Python program
Module 2: Python Basics
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Variables and data types (int, float, str, bool)
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Operators (arithmetic, comparison, logical)
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Input/output functions
Module 3: Control Structures
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Conditional statements (
if,elif,else) -
Loops (
for,while,break,continue)
Module 4: Data Structures
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Lists, tuples, sets, dictionaries
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List comprehensions
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String manipulation
Module 5: Functions and Modules
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Defining and calling functions
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Parameters and return values
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Lambda functions
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Importing and creating modules
Module 6: File Handling
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Reading and writing files (
open,read,write) -
Working with CSV and JSON files
Module 7: Object-Oriented Programming (OOP)
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Classes and objects
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Inheritance, polymorphism, encapsulation
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Magic methods (
__init__,__str__)
Module 8: Error Handling & Debugging
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Exception handling (
try,except,finally) -
Debugging techniques
Assessment & Certification
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Quizzes & Assignments: Weekly coding exercises
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Final Project: Develop a Python application (e.g., a calculator, to-do list, or basic game)
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Certification: Awarded upon successful completion (passing grade ≥70%)
Who Should Enroll?
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Beginners with no prior coding experience
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Professionals looking to upskill in Python
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Students pursuing careers in software development, data science, or automation
Prerequisites
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Basic computer literacy
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No prior programming experience required
Tools & Resources
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Python 3.x
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IDE: PyCharm, VS Code, or Jupyter Notebook
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Online compiler (Google Colab, Replit)
Career Pathways
After completing this course, learners can explore roles such as:
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Python Developer
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Data Analyst
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Automation Engineer
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Backend Developer (with further training)
Enroll Now & Start Your Python Journey! 🚀
