Description
Course Modules
1. Introduction to Python
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Python syntax and basics
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Setting up Python (IDLE, PyCharm, Jupyter)
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Variables, data types, and operators
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Input/output operations
2. Control Structures & Functions
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Conditional statements (
if-else,elif) -
Loops (
for,while) -
Functions and lambda expressions
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Scope and recursion
3. Data Structures in Python
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Lists, tuples, sets, dictionaries
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List comprehensions
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String manipulation
4. File Handling & Modules
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Reading/writing files (text, CSV, JSON)
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Working with OS modules
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Importing and creating modules
5. Object-Oriented Programming (OOP)
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Classes and objects
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Inheritance, polymorphism, encapsulation
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Magic methods
6. Error Handling & Debugging
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Exception handling (
try-except-finally) -
Debugging techniques
7. Python Libraries & APIs
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Introduction to
NumPy,Pandas,Matplotlib -
Web scraping with
BeautifulSoup/Requests -
Consuming REST APIs
8. Capstone Project
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Build a real-world Python application (e.g., data analyzer, web scraper, automation script)
Learning Outcomes
✔ Write efficient Python scripts for automation and data processing.
✔ Understand OOP concepts and implement them in projects.
✔ Work with files, APIs, and external libraries.
✔ Debug and optimize Python code.
Who Should Enroll?
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Beginners in programming
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Professionals seeking automation skills
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Data enthusiasts and aspiring developers
Assessment & Certification
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Quizzes & assignments
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Final project submission
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Certificate awarded upon completion (passing grade: 70%+)
Tools & Technologies Used
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Python 3.x
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VS Code / PyCharm
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Jupyter Notebook
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GitHub for version control
Fees & Enrollment
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Price: $199–$499 (varies by institution)
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Prerequisites: Basic computer literacy
