Digital Educator in the 21st Century with edtechhub

Python Course

This course is designed to introduce participants to the foundational concepts of text-based Python programming. It covers essential features, programming constructs, and advanced techniques to prepare learners for real-world applications. The course also provides an introduction to data analysis, enabling participants to develop skills that are in high demand across industries.

Course Objectives

  1. Understand the basics of Python programming, including syntax, features, and key functions such as print and input.

  2. Differentiate between IDEs, compilers, and interpreters, and choose the appropriate tools for Python development.

  3. Identify Python tokens (keywords, identifiers, literals, etc.) and follow variable naming rules.

  4. Work with Python operators, including:

    • Arithmetic operators
    • Comparison operators
    • Logical operators
    • Membership operators
    • Bitwise operators
    • Identity operators
  5. Explore and utilize Python data types, such as:

    • float
    • complex
    • tuple
    • dict
    • Learn data type conversion techniques.
  6. Implement control flow statements, including:

    • if, elif, else
    • Nested if statements
    • Proper indentation in Python.
  7. Create patterns using loops and understand nested loops for complex logic.

  8. Work with Python’s collection types, such as:

    • Dictionary, List, and String
    • Utilize functions, loops, and nested dictionaries.
  9. Define and use functions, including advanced concepts such as:

    • Parameters and arguments
    • Default values
    • Lambda functions.
  10. Work with Python modules, libraries, and packages for extended functionality.

  11. Handle files effectively, including:

    • Creating, reading, writing, and deleting text and CSV files
    • Managing and manipulating data.
  12. Gain a foundational understanding of data analysis concepts and techniques using Python.

Target Audience

  • Beginners interested in learning Python programming.

  • Students and professionals seeking to enhance their programming skills.

  • Individuals exploring a career in data analysis or software development.

Prerequisites

No prior programming experience is required. A basic understanding of computers is sufficient.