100% OFF- Google Colab for Data Science & AI using Python

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

1. 100% Hands-On Learning – Apply Python concepts in real-world coding exercises and projects.
2. No Installations Required – Work directly in Google Colab, eliminating setup complexities.
3. Step-by-Step Guidance – Every concept is explained with clear examples and practice exercises.
4. Practical Applications – Learn how Python is used in automation, data science, and web development.
5. Interactive Coding Experience – Code along with instructor-led exercises in a structured environment.