This advanced foundation-level Python course is perfect for students who have a basic grasp of Python and are ready to deepen their skills. With over 10 comprehensive units, learners dive into decision-making, loops, strings, lists, dictionaries, file handling, modules, functions, and explore cutting-edge applications like computer vision, gesture control, and data analytics. Each unit includes hands-on projects such as a Scrabble game, password validator, rock-paper-scissors game, quiz builder, and even facial recognition -making coding both practical and exciting.

Key Benefits:

• Build real-world applications using Python modules and logic
• Learn computer vision and gesture control using OpenCV
• Strengthen data handling, visualization, and analysis skills
• Hands-on practice through games, simulations, and AI mini-projects
• Lays groundwork for advanced programming, AI, and data science

What You’ll Learn:

Python Basics & Setup

• IDEs, print statements, comments, indentation

• Environment setup, compilers vs interpreters

Data Types & Operators

• Variables, expressions, and user input

• Numeric, sequence, boolean types and conversions

Conditionals & Loops

• If-else structures, nested loops, break/continue/pass

• Projects: Fibonacci series, palindrome, Floyd’s triangle

Strings & Built-in Functions

• String slicing, operations, immutability

• Word guessing game, password checker

Lists, Sets, Tuples, Dictionaries

• CRUD operations, list comprehensions, nested data structures

• Projects: Lottery generator, employee database, movie catalog

Python Modules

• Importing modules, random, datetime, math

• Projects: Dice simulator, alarm clock, scrabble using nltk

Functions in Python

• User-defined functions, lambda, map/reduce/filter

• Projects: Rock-paper-scissors, function-based apps

File Handling

• Text, binary, and encoded files

• Projects: Quiz builder, soccer data file editor, renaming via OS

Computer Vision with OpenCV

• Object tracking/detection, gesture control

• Virtual mouse, face detection, video capture

Tools & Visualization

• PIP, cloud storage, Howdoi

• Data visualization with Plotly & Pandas

Data Analysis & AI Foundations

• Normal distribution, Z-Test, regression models

• Sampling, clustering, digit recognition (AI project)