What You'll Learn

By the end of this course, you'll be able to:

Write clean, efficient Python code

Work with data structures and algorithms

Use NumPy and Pandas for data manipulation

Create visualizations with Matplotlib

Build basic machine learning models

Understand AI development workflows

Course Modules

A comprehensive curriculum designed for practical application.

1

Python Fundamentals

  • Variables and data types
  • Control flow
  • Functions
  • Modules and packages
2

Object-Oriented Programming

  • Classes and objects
  • Inheritance
  • Polymorphism
  • Design patterns
3

Data Structures

  • Lists, tuples, and sets
  • Dictionaries
  • Stacks and queues
  • Trees and graphs
4

NumPy Essentials

  • Array operations
  • Broadcasting
  • Linear algebra
  • Random number generation
5

Pandas for Data Analysis

  • DataFrames
  • Data cleaning
  • Grouping and aggregation
  • Time series data
6

Data Visualization

  • Matplotlib basics
  • Statistical plots
  • Interactive visualizations
  • Dashboard creation
7

File Handling & APIs

  • Reading/writing files
  • JSON and CSV
  • REST APIs
  • Web scraping
8

AI Development Setup

  • Jupyter notebooks
  • Virtual environments
  • Git basics
  • AI project structure

Enroll in Python for AI

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