Course Outline

Basic Libraries in Python

Control Structures

Final Project

Functions and Modules

Introduction to Python and Google Colab

Summary and Next Steps

Variables and Data Types

Working with Collections

  • Applying learned concepts to a small project
  • Best practices for writing and organizing Python code
  • Debugging and troubleshooting
  • Conditional statements
  • Loops: for and while
  • Controlling program flow with decisions
  • Defining and calling functions
  • Scope and lifetime of variables
  • Importing and using modules
  • Introduction to libraries like NumPy and Matplotlib
  • Basic data manipulation with Pandas
  • Simple data visualization
  • Introduction to variables
  • Different data types in Python
  • Operations on numbers and strings
  • Lists and tuples
  • Dictionaries and sets
  • Iterating through collections
  • Setting up Google Colab
  • Understanding the Python programming environment
  • Writing and executing your first Python script

Requirements

Audience

  • Developers
  • Data analysts
  • No prior programming experience required
  • Basic understanding of computer operations
  • Familiarity with web browsing and simple mathematical concepts
 14 Hours

Number of participants


Price per participant

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