What You'll Learn Mastering Python fundamentals, including variables, data types, and control structures Implementing Object-Oriented Programming (OOP) principles for code organization and reusability Proficiently handling TXT, CSV, and JSON files for effective data processing Developing Flask API Overview of data science libraries like Pandas and NumPy for effective data analysis Understanding machine learning basics, from supervised learning to model evaluation Continuous skill evaluation through quizzes, labs, and projects Exploring diverse career pathways within the tech industry

Prerequisites

• No prior programming experience required
• Basic understanding of fundamental computer science concepts

By the end of this Python Foundations course, you'll be equipped with a comprehensive skill set, ready to elevate your skill towards web development, data science, machine learning, and artificial intelligence. The hands-on experience, continuous evaluation, and practical projects will ensure you're well-prepared for a dynamic and fulfilling tech career.

Course Content

Course Introduction (FREE SESSION)

• What is Software and How Does it work?
• What is Programming?
• How does Program/Software/Script Communicate Computer/Hardware?
• Python Overview
• Market Opportunities

Introduction to Python Programming

• Overview of Python
• Installing Python and Setting up Development Environment
• Understanding Python Syntax and Basic Data Types
• Introduction to Python Variables and Operators

Control Flow and Functions

• Conditional Statements (if, elif, else)
• Loops (for, while)
• Functions and their importance
• Creating and Calling Functions in Python

Data Structures in Python

• Lists, Tuples, and Dictionaries
• Understanding Sets
• String Manipulation

File Handling and Exception Handling

• Reading and Writing to Files
• Handling Exceptions in Python
• Using Try, Except, Finally blocks

Object-Oriented Programming (OOP) in Python

• Introduction to OOP Concepts
• Classes and Objects
• Inheritance and Polymorphism
• Encapsulation and Abstraction

Working with Modules and Libraries

• Importing and using modules
• Exploring standard libraries
• Introduction to Third-party Libraries (e.g., NumPy, Pandas)

Introduction to Web Development with Flask

• Overview of Flask framework
• Installing Flask and setting up a basic web application
• Understanding Routes and Views in Flask

Building Basic Web Applications with Flask

• Creating Templates and Forms
• Working with Databases (SQLite with Flask)
• User Authentication and Authorization
• RESTful API Development with Flask

Final Project

• Develop a Python-based project applying the concepts learned in the course
• Present and discuss final projects in the last session