Description

The Python for Beginners course offered by ClickBase IT Academy is designed to provide a solid foundation in Python programming for individuals with little to no prior experience in coding. Here’s an overview of what you can typically expect from such a course:

Module 1: Introduction to Python

• Overview of Python: History, features, and applications.
• Setting Up Python: Installing Python and an Integrated Development Environment (IDE).
• Basic Syntax: Variables, data types (integers, floats, strings, booleans), basic operations.

Module 2: Control Structures

• Conditional Statements: if, elif, else.
• Loops: for loops, while loops.
• Control Flow: Break, continue, pass statements.

Module 3: Functions and Modules

• Functions: Defining functions, parameters, return statements.
• Scope and Lifetime of Variables: Local vs. global variables.
• Modules: Creating and using modules, importing modules.

Module 4: Data Structures

• Lists: Creating lists, indexing, slicing, list methods.
• Tuples: Creating tuples, immutable nature, tuple methods.
• Dictionaries: Creating dictionaries, accessing elements, dictionary methods.

Module 5: Object-Oriented Programming (OOP)

• Classes and Objects: Defining classes, attributes, methods.
• Inheritance: Creating subclasses, overriding methods.
• Polymorphism: Method overriding, method overloading.

Module 6: File Handling

• Reading and Writing Files: Opening, reading from, and writing to files.
• Handling Exceptions: try, except, finally blocks.

Module 7: Introduction to Libraries

• Introduction to Standard Library: Using built-in modules like math, random, datetime.
• Introduction to External Libraries: Overview of popular libraries like NumPy, Pandas.

Module 8: Introduction to Web Development with Python (Optional)

• Overview of Web Development: Basics of HTML, CSS, and JavaScript.
• Introduction to Flask/Django: Setting up a basic web application, handling requests and responses.

Module 9: Final Project

• Capstone Project: Applying learned concepts to build a small application or solve a programming challenge.

Additional Topics (Depending on Course Length and Focus)

• Advanced Topics: Decorators, generators, context managers.
• Database Connectivity: Introduction to SQLite or other databases.
• Introduction to Data Analysis (Optional): Using Pandas for data manipulation and analysis.
• Introduction to Machine Learning (Optional): Overview of scikit-learn for machine learning tasks.

Support and Resources

• Instructor Support: Access to instructors or mentors for guidance and questions.
• Supplementary Resources: Readings, video lectures, quizzes, and assignments.
• Community Support: Access to forums or discussion boards for interacting with peers and sharing knowledge.

Certification

• Completion Certificate: Upon successfully finishing the course, a certificate may be awarded to validate your learning.