Master Python Programming from Scratch Using Google Colab –Hands-on, Beginner-Friendly, and Practical.
Description
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
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Python Basics – Understand Python syntax, variables, data types, operators, and expressions.
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Control Flow and Loops – Implement conditional statements (if-else), loops (for, while), and loop control mechanisms (break, continue).
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Functions and Modular Programming – Write reusable code using functions, parameters, return values, and lambda functions.
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Working with Data Structures – Learn how to store and manipulate data efficiently with lists, tuples, dictionaries, and sets
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Object-Oriented Programming (OOP) – Understand the principles of OOP, including classes, objects, inheritance, encapsulation, and polymorphism.
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File Handling & Exception Management – Read, write, and process text and CSV files while handling errors efficiently using try-except blocks.
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Hands-On with Google Colab – Explore the features of Google Colab, including code cells, markdown, file management, and library integration.
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Working with Python Libraries – Use NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
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Regular Expressions & API Interactions – Apply pattern matching for text processing and interact with external REST APIs using the requests library.
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Advanced Python Features – Learn about decorators, iterators, generators, and context managers for writing efficient Python code.
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Data Analysis and Visualization – Load and analyze datasets, clean and transform data, and create interactive plots using Plotly.
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Introduction to Machine Learning – Get a basic understanding of machine learning, explore data preprocessing, and train simple models using scikit-learn.
Course Highlights
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100% Hands-On Learning – Apply Python concepts in real-world coding exercises and projects.
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No Installations Required – Work directly in Google Colab, eliminating setup complexities.
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Step-by-Step Guidance – Every concept is explained with clear examples and practice exercises.
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Practical Applications – Learn how Python is used in automation, data science, and web development.
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Interactive Coding Experience – Code along with instructor-led exercises in a structured environment.
Total Students | 349 |
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Original Price($) | |
Sale Price | Free |
Number of lectures | 144 |
Number of quizzes | 14 |
Total Reviews | 113 |
Global Rating | 4.896396 |
Instructor Name | Cyberdefense Learning |
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