Python Course Online Using Google Colab (No Setup)

Learn Python programming from the ground up using Google Colab—no installation required. This hands-on course guides beginners through Python syntax, data structures, libraries, and even basic machine learning, all in a free cloud-based coding environment.

4.9

★★★★★

(90)

250 Students

20+ Hours

Stage 4 - Advanced

Last update: April 2025

Audio Language: English

Subtitles/Captions: Yes

Type of Training: Online, self-paced

Focus: Python Courses, AI Coding Courses, Generative AI Courses, Programming Courses

Caption Language: English

What You’ll Learn

This Python Course Online Using Google Colab (No Setup) will teach you:

Google Colab workflow: Code, save, and share using a cloud-based platform.
Data structures: Use lists, tuples, dictionaries, and sets to manage data.
APIs and regex: Use regular expressions and fetch data from web services.
Popular libraries: Analyze and visualize data with NumPy, Pandas, Matplotlib, and Seaborn.

Python fundamentals: Work with syntax, variables, control flow, and functions.
Object-oriented programming: Build reusable programs using classes and inheritance.
File handling: Read, write, and manage files like CSV and JSON.
Intro to machine learning: Explore model training and evaluation with scikit-learn.

Included in the Python Course Online

20 Hours of On-Demand Video

9 Quizzes

Access on Mobile

Certificate of Completion

Suitable for the Following Careers

Python Developer

Data Analyst

Machine Learning Enthusiast

Automation Specialist

Web Developer, Educator

Course Content

Course Overview

Course Description

Video Overview

Section : Introduction to Python and Google Colab

Why Python is popular

Origins and evolution of Python

Compare and contrast Python with other languages

Showcase real-world applications

Procedural Programming

Object-Oriented Programming (OOP)

Functional Programming

Local Installation

Dependency Management

Virtual Environments

What is Google Colab It_s purpose & Advantages

Setting up a Google Colab account

Detailed tour of the Colab interface (menus, toolbar, file explorer)

Explain the concept of cells

Demonstrate basic cell operations (adding, deleting, moving, running)

Python Basics-Variables

Data Types - Integers & Type Conversion

Operators - Arthmetic, Comparision & Logical Operators

String Manipulations

Input() Function

Print() Function

Comments in Python

Python Code Style Guidelines

Hands On - Write a program that takes the user-s name as input and greets them

Hands On - Write a program that performs basic arithmetic operations

Hands On - Format the Notebook

Quiz 1: Module 01 - Quiz

Section : Module 2 Control Flow and Functions

Conditional Statements If , Elif , Else

Conditional Statements Nested If Statements

Loops For Loop

Loops While Loop

Loops Nested Loops

Loop Control Statements Break

Loop Control Statements Continue

Loop Control Statements Pass

Functions Definition

Functions Parameter and Return Values

Functions Default Arguments

Functions Scope of Variables

Lambda Functions Anonymous Functions

Lamdba Functions Syntax of Lambda Functions

Lambda Functions Use Cases

Hands On - Write a function to calculate the factorial of a number

Hands On - Write a function to check if a number is prime

Hands On - Write a function to reverse a string

Hands On - Create a function to calculate the area of different shapes

Quiz 2: Module 2 - Quiz

Section : Module 3 Data Structures

Lists Creating lists using Square brackets

Lists Indexing and slicing accessing elements by their position

Lists Modifying Lists

Lists List Methods

Lists List Comprehensions

Lists Iterating over Lists

Tuples Creating tuples using Parentheses()

Tuples Accessing Elements

Tuples Immutability

Tuples Tuples use cases

Dictionaries Creating Dictionaries

Dictionaries Accessing Values

Dictionaries Modifying Dictionaries

Dictionaries Dictionary Methods

Dictionaries Dictionary Comprehensions

Dictionaries Iterating over Dictionaries

Sets Iterating over Dictionaries

Sets Uniqueness

Set Operations

Set Method

Hands On - Create a dictionary to store student information

Hands On - Use sets to find common elements between two lists

Hands On - Implement a shopping cart using a dictionary to store items

Hands On - Write a program to find the most frequent element in a list

Quiz 3: Module 3: Data Structures - Quiz

Section : Module 4 Working with Libraries in Colab

Libraries in Python

Installing Libraries in Colab

Importing the Libraries

Essential Libraries Numpy

Essential Libraries Pandas

Essential Libraries Matplotlib

Essential Libraries Seaborn

Hands-on - Use NumPy to perform matrix operations

Hands -on- Create a line plot and a bar chart using Matplotlib to visualize data

Hands-On- Use Seaborn to create a scatter plot with a regression line

Quiz 4: Module 4 : Working with Libraries in Colab - QUIZ

Section : Module 5 Object-Oriented Programming (OOP)

What is OOP

Principles of OOP

Classes and Objects

Constructors

Instance Variables

Methods

Advanced OOP Concepts - Inheritance

Advanced OOP Concepts - Polymorphism

Advanced OOP Concepts - Encapsulation

Advanced OOP Concepts - Abstraction

Modules

Packages

Importing Modules & Functions

HANDS on - Create a DOG class with attributes

HANDS ON - Create a CAT Class and demonstrate Inheritance

HANDS ON - Building a Simple Banking System

Quiz 5: Module 5 : Object-Oriented Programming (OOP) - QUIZ

Section : Module 6 File Handling and Exception Management

File Handling- Opening Files

File Handling - Reading Files

File Handling - Writing Files

File Handling - Closing Files

File Handling - Working with Different file types

Try and Except Blocks

Raising Exceptions

Custom Exceptions

Hands on - Write a program to read a text file and count the number of words

HandsON-Write a program to read a CSV file and calculate the average of a column

Hands On - Create a program to handle potential errors

Hands On - Implement a custom exception for invalid file formats

Quiz 6: Module 6: File Handling and Exception Management - QUIZ

Section : Module 7 Intermediate Python

Iterators and Generators Iterators

Iterators and Generators Generators

Decorators

Syntax Using the @decorator syntax

Use Cases of Decorators

Context Managers - The With Statement

__enter__() and __exit__() methods Defining custom context managers

Use Cases of Context Managers

Hands On - Create a generator that yields Fibonacci numbers

Hands On -Write a decorator to log function calls with time stamps

Hands On - Implement a context manager to ensure a file is always closed

Quiz 7: Module 7: Intermediate Python - QUIZ

Section : Advanced Python Concepts

Introduction to regular expressions

Basic syntax

The Re Module

Use Cases

What is an API Application Programming Interface

Introduction to REST APIs

The requests library

API keys and authentication

Hands On Use regular expressions to validate email addresses

Hands On Fetch data from a public API (e.g., a joke API, ) and display it

Hands On Use the requests library to interact with a REST API

Quiz 8: Module 8 Quiz: Advanced Python Concepts – Regex & APIs

Section : Data Analysis and Visualization

Advanced Pandas

Introduction to Plotly Explain its advantages

Installation Show how to install Plotly in Colab

Basic plotting Create scatter plots, line charts, bar charts with Plotly

Customization Add titles, labels, legends, and annotations

Interactive features Enable zooming, panning, hovering, and click events

Advanced plots Create 3D plots, geographic maps, and other complex visualizat

Hands-on Exercises-1

Hands-on Exercises-2

Quiz 9: Module 9 Quiz: Data Analysis and Visualization

Audio Version of Training

OPEN FULL CURRICULUM

Requirements

Basic computer literacy and internet access

A Google Account to use Google Colab

Basic math knowledge (helpful, not mandatory)

No Python installation required—everything runs online

Description of Python Course Online Using Google Colab (No Setup) Training

Forget complicated software setups—this course lets you dive straight into Python programming using Google Colab, an online coding platform built on Jupyter notebooks. You'll start with the absolute basics and build toward advanced topics through clear explanations, hands-on exercises, and real-world projects.

Whether you're a beginner learning to code, a student preparing for data science, or a professional exploring automation, you'll gain practical skills in variables, functions, loops, OOP, libraries, APIs, and data analysis. With 100% hands-on practice, you’ll write Python code directly in your browser, guided every step of the way.

Navigate and code in Google Colab with ease
Master Python syntax, logic, and control structures
Work with data using Pandas and visualize it with Matplotlib and Seaborn
Build custom classes and understand object-oriented design
Fetch data from APIs and apply regular expressions for parsing
Analyze datasets and create interactive plots using Plotly
Take your first steps into machine learning using scikit-learn

By the time you complete this course, you’ll have a solid grasp of Python and the essential topics needed for real-world programming. With plenty of hands-on experience in a user-friendly environment like Google Colab, you’ll be ready to build projects in data science, automation, and even explore artificial intelligence. You’ll confidently write code, solve problems, and answer questions using Python in both personal and professional settings.

Who Is This Course For

Perfect for first-time coders, students, professionals exploring data or automation, and anyone who wants to learn Python without the hassle of setup. It's also ideal for educators, freelancers, and anyone transitioning from other languages to Python.

Course Instructor

StationX

StationX has been an award-winning, leading provider of online cybersecurity training and consultancy services since 1999. Through hands-on learning experiences, StationX offers the most engaging and effective way to learn real-world concepts and skills essential for a successful cyber career.

StationX has built and aggregated over 1,000 classes, virtual labs, practice tests, and exam simulations covering cybersecurity, hacking, penetration testing, certifications, Linux, networking, and cloud computing. Their training has benefited more than 250,000 students in 195+ countries, earning them the prestigious AI Cyber Security Educator of the Year 2020 Award.

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Testimonials

★★★★★

Hay S.

The content is very well organized. I now understand how to use Python for AI directly in the cloud—no installations needed!

★★★★★

Evan K.

One of the best introductions to Google Colab out there. It’s clean, hands-on, and really well-explained, perfect as a beginners course to learn data science. The explanations of data types and data manipulation were clear and practical, whether you're a newcomer or an experienced programmer. A great starting point for future data scientists.

★★★★★

Crystal S.

Super practical and easy to follow! I was up and running with Google Colab in no time. Great course for beginners in data science.

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Frequently Asked Questions

Is Python hard to learn?

Not at all. Python is known for its simple and readable syntax, making it one of the easiest programming languages for beginners. With tools like Google Colab and hands-on practice, most learners pick up Python quickly, even with no prior coding experience.

How long does it take to learn Python?

For most beginners, it takes about 2 to 3 months to learn Python basics with consistent practice. Mastering more advanced topics like data analysis, APIs, or machine learning can take 6 months or more, depending on your pace and goals. Tools like Google Colab make the learning process faster and more accessible.

When does the course start and finish?

Python Course Online starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.

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Python Course Online Using Google Colab (No Setup)

What You’ll Learn

Included in the Python Course Online

Suitable for the Following Careers

Course Content

Course Overview

Section : Introduction to Python and Google Colab

Section : Module 2 Control Flow and Functions

Section : Module 3 Data Structures

Section : Module 4 Working with Libraries in Colab

Section : Module 5 Object-Oriented Programming (OOP)

Section : Module 6 File Handling and Exception Management

Section : Module 7 Intermediate Python

Section : Advanced Python Concepts

Section : Data Analysis and Visualization

Audio Version of Training

OPEN FULL CURRICULUM

Requirements

Description of Python Course Online Using Google Colab (No Setup) Training

Who Is This Course For

Course Instructor

Testimonials

Frequently Asked Questions

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