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)