Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
19 Hour(s) 35 Minute(s)
Language
English
Taught by
Cyberdefense Learning
Rating
Course Overview
Master Python Programming from Scratch Using Google Colab –Hands-on, Beginner-Friendly, and Practical.
Learn Python from Scratch Using Google Colab – A Hands-On, Beginner-Friendly Approach!
Python is one of the most powerful, versatile, and beginner-friendly programming languages used in web development, data science, automation, and artificial intelligence. In this course, you will learn Python from scratch using Google Colab, a free, cloud-based coding platform that eliminates the need for software installation, making it easy to write and execute Python code from any device.
Through step-by-step lessons, hands-on exercises, and real-world examples, you will build a strong foundation in Python programming and develop the skills needed for practical applications. Whether you are an absolute beginner, a student, or a professional looking to enhance your technical skills, this course will provide the structured learning experience you need.
What You Will Learn
Python Basics – Understand Python syntax, variables, data types, operators, and expressions.
Control Flow and Loops – Implement conditional statements (if-else), loops (for, while), and loop control mechanisms (break, continue).
Functions and Modular Programming – Write reusable code using functions, parameters, return values, and lambda functions.
Working with Data Structures – Learn how to store and manipulate data efficiently with lists, tuples, dictionaries, and sets
Object-Oriented Programming (OOP) – Understand the principles of OOP, including classes, objects, inheritance, encapsulation, and polymorphism.
File Handling & Exception Management – Read, write, and process text and CSV files while handling errors efficiently using try-except blocks.
Hands-On with Google Colab – Explore the features of Google Colab, including code cells, markdown, file management, and library integration.
Working with Python Libraries – Use NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
Regular Expressions & API Interactions – Apply pattern matching for text processing and interact with external REST APIs using the requests library.
Advanced Python Features – Learn about decorators, iterators, generators, and context managers for writing efficient Python code.
Data Analysis and Visualization – Load and analyze datasets, clean and transform data, and create interactive plots using Plotly.
Introduction to Machine Learning – Get a basic understanding of machine learning, explore data preprocessing, and train simple models using scikit-learn.
Course Highlights
100% Hands-On Learning – Apply Python concepts in real-world coding exercises and projects.
No Installations Required – Work directly in Google Colab, eliminating setup complexities.
Step-by-Step Guidance – Every concept is explained with clear examples and practice exercises.
Practical Applications – Learn how Python is used in automation, data science, and web development.
Interactive Coding Experience – Code along with instructor-led exercises in a structured environment.
Course Content
- 9 section(s)
- 144 lecture(s)
- Section 1 Introduction to Python and Google Colab
- Section 2 Module 2: Control Flow and Functions
- Section 3 Module 3: Data Structures
- Section 4 Module 4 : Working with Libraries in Colab
- Section 5 Module 5 : Object-Oriented Programming (OOP)
- Section 6 Module 6: File Handling and Exception Management
- Section 7 Module 7: Intermediate Python
- Section 8 Advanced Python Concepts
- Section 9 Data Analysis and Visualization
What You’ll Learn
- Understand Python fundamentals, including syntax, data types, and control flow.
- Work with Google Colab, an online Jupyter-based platform, without the need for local installations.
- Store and manipulate data using variables, lists, tuples, dictionaries, and sets.
- Make decisions using conditional statements and automate tasks with loops.
- Create reusable functions, work with arguments, and explore lambda functions.
- Work with classes, objects, inheritance, polymorphism, and encapsulation.
- Read, write, and manage text, CSV, and JSON files while handling errors effectively.
- Explore NumPy, Pandas, Matplotlib, Seaborn, and Plotly for data manipulation and visualization.
- Load, clean, and analyze datasets using Pandas and visualize insights with Matplotlib and Seaborn.
- Fetch and process data from external sources using the requests library.
- Apply pattern matching for data validation and text processing.
- Learn advanced Python concepts for efficient programming.
- Understand fundamental concepts, train simple models, and evaluate their performance.
Skills covered in this course
Reviews
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BBill Dillon
Yes, so far!
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GGregorio Vasquez
In the previous exercise, we were required to define a function "function called get_info()." The proble is that we have not been intorduced to creating function at tis point of the class.
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WWoody12453
not building the big picture
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AAkhil CH
This course is shockingly underwhelming. Despite being titled *"Python with AI"*, it fails to deliver even the most fundamental aspects you'd expect from such a program. Key omissions include: * ❌ No content on **connecting to databases** * ❌ Zero guidance on **creating APIs** * ❌ Absolutely nothing about **integrating or consuming AI-related APIs** It’s baffling how a course can brand itself as AI-focused while skipping the essential building blocks required to actually apply AI in real-world scenarios. Frankly, you'd get far more practical knowledge — and for free — from a few hours browsing YouTube or reading open-source documentation. This course feels like a cash grab with minimal effort invested in meaningful instruction or curriculum design. If you're serious about learning AI with Python, **look elsewhere.**
