Google Colab for Data Science & AI using Python

Course Overview

• Course Title: Google Colab for Data Science & AI using Python
• Instructor: Cyberdefense Learning
• Target Audience:
  • Absolute beginners
  • Students
  • Professionals looking to enhance technical skills
• Prerequisites:
  • Basic computer skills
  • A Google Account
  • Internet access
  • Curiosity and willingness to learn
  • Basic mathematics understanding (optional)

Curriculum Highlights

• Key Topics Covered:
  • Python fundamentals
  • Google Colab usage
  • Data structures (lists, tuples, dictionaries, sets)
  • Control flow and loops
  • Functions and modular programming
  • Object-Oriented Programming (OOP)
  • File handling and exception management
  • Data manipulation and visualization with NumPy, Pandas, Matplotlib, Seaborn, and Plotly
  • API interactions and pattern matching
  • Advanced Python features
  • Introduction to machine learning
• Key Skills Learned:
  • Python programming
  • Data manipulation and visualization
  • Machine learning basics
  • API interactions
  • Regular expressions
  • File handling
  • Object-Oriented Programming
  • Advanced Python concepts

Course Format

• Duration: 19.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 4 coding exercises
  • 1 article
  • 2 downloadable resources
  • Access on mobile and TV
  • Certificate of completion