Python Programming Fundamentals using Google Colab

• No prior programming experience required
• Basic understanding of computer operations
• Familiarity with web browsing and simple mathematical concepts

Audience

• Developers
• Data analysts

Python is a versatile and widely-used programming language. Google Colab is an interactive cloud-based platform that allows users to write and execute Python code through their browser. It's particularly useful for machine learning, data analysis, and education.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

By the end of this training, participants will be able to:

• Understand the basics of Python programming language.
• Implement Python code in Google Colab environment.
• Utilize control structures to manage the flow of a Python program.
• Create functions to organize and reuse code effectively.
• Explore and use basic libraries for Python programming.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Python and Google Colab

• Setting up Google Colab
• Understanding the Python programming environment
• Writing and executing your first Python script

Variables and Data Types

• Introduction to variables
• Different data types in Python
• Operations on numbers and strings

Control Structures

• Conditional statements
• Loops: for and while
• Controlling program flow with decisions

Functions and Modules

• Defining and calling functions
• Scope and lifetime of variables
• Importing and using modules

Working with Collections

• Lists and tuples
• Dictionaries and sets
• Iterating through collections

Basic Libraries in Python

• Introduction to libraries like NumPy and Matplotlib
• Basic data manipulation with Pandas
• Simple data visualization

Final Project

• Applying learned concepts to a small project
• Best practices for writing and organizing Python code
• Debugging and troubleshooting

Summary and Next Steps