Udemy – Learn Python Using Google Colab 2025-3

Updated August 10, 2026 3.6 GB

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Description

Learn Python Using Google Colab. This course introduces the Python programming language from a beginner level in a hands-on, project-based way in the free Google Colab environment. Python is a powerful, versatile, and beginner-friendly language used in areas such as web development, data science, automation, and artificial intelligence. Using Google Colab, a cloud-based platform with no software installation required, participants can experience coding and running Python code directly from their web browser on any device. During this course, the basics of Python are taught, including syntax, variables, data types, operators, and expressions. Controlling flow with conditional statements and loops, creating and using functions and modular programming, and working with data structures such as lists, tuples, dictionaries, and sets are covered. Object-oriented programming concepts including classes, objects, inheritance, and polymorphism are taught. File management for working with text, CSV, and JSON files, as well as error handling with try-except blocks, are also covered. Working with popular Python libraries such as NumPy and Pandas for data manipulation, Matplotlib and Seaborn for data visualization, and the requests library for interacting with external APIs are taught. More advanced features such as decorators, generators, and regular expressions are also explored. Finally, participants are introduced to data analysis and visualization, and receive an introduction to machine learning, including data preprocessing and training simple models with scikit-learn. Combining step-by-step lessons, hands-on exercises, and practical examples, this course provides a solid foundation in Python and provides the skills necessary to implement real-world projects.

What you will learn

Python Basics:
Understand Python basics, including syntax, data types, and control flow.
Store and manipulate data using variables, lists, tuples, dictionaries, and sets.
Decision making using conditional statements and automating tasks with loops.
Working with functions and object-oriented programming:
Create reusable functions, work with arguments, and explore Lambda Functions.
Working with Classes, Objects, Inheritance, Polymorphism, and Encapsulation.
File and error management:
Read, write, and manage text, CSV, and JSON files, while effectively handling errors.
Working with Google Colab:
Work with Google Colab, an online platform based on Jupyter, without the need for a local installation.
Data analysis and visualization:
Review of NumPy, Pandas, Matplotlib, Seaborn, and Plotly libraries for data manipulation and visualization.
Load, clean, and analyze datasets using Pandas and visualize insights with Matplotlib and Seaborn.
Data acquisition and text processing:
Retrieve and process data from external sources using the requests library.
Apply pattern matching for data validation and text processing.
Advanced concepts and artificial intelligence:
Learn advanced Python concepts for efficient programming.
Understand the basic concepts of machine learning, train simple models, and evaluate their performance.

This course is suitable for people who:

Absolute beginners in programming: If they have never written a line of code, this course will guide them step-by-step and in a beginner-friendly way.
Students and Educators: Ideal for students learning Python for the first time and educators who want to introduce Python programming into their curriculum.
Aspiring data scientists and analysts: If they want to explore data science, machine learning, or automation, Python is an essential skill and this course will help them build a strong foundation.
Professionals looking to upskill: Whether in IT, finance, marketing, or any other field, Python can help automate tasks, analyze data, and increase productivity.
Developers and programmers from other languages: If you have experience in other programming languages like Java, C++, or JavaScript and want to learn Python quickly, this course provides a smooth transition.
Business and non-technical professionals: Learn how to use Python for automation, basic data analysis, and increased productivity, without the need for extensive programming knowledge.
Machine Learning and Artificial Intelligence enthusiasts: Python is the foundation of AI and machine learning. This course will help them begin their journey in these advanced fields.
Freelancers and Entrepreneurs: If you are looking to add Python to your skill set for freelancing, web development, or automation, this course would be a great starting point.

Course details

Publisher: Udemy
Instructor: Cyberdefense Learning
Training level: Beginner to advanced
Training duration: 8 hours and 46 minutes
Number of lessons: 70

Course syllabus in 2025/6

Prerequisites for the Learn Python Using Google Colab course

Basic Computer Skills – Comfortable with using a computer, browsing the internet, and managing files.
A Google Account – Required to access Google Colab (free to create).
Internet Access – Since Google Colab runs online, a stable internet connection is necessary.
Curiosity and Willingness to Learn – A problem-solving mindset and eagerness to explore Python.
Basic Mathematics Understanding (Optional) – A general understanding of basic math concepts (addition, subtraction, multiplication, division) will be helpful, but not mandatory.
No Software Installation Required! – Since we will be using Google Colab, there is no need to install Python or any additional software on your local machine. Everything runs in the cloud!