Udemy – Google Colab for Data Science AI using Python

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.

RAPIDGATOR:
https://rapidgator.net/file/0c09794220e377bad14b950299713189/Udemy_-_Google_Colab_for_Data_Science_AI_using_Python_-_Cyberdefense_Learning_(Mar_2025).part1.rar.html
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TURBOBIT:
https://trbt.cc/19tuofjfsq15/Udemy_-_Google_Colab_for_Data_Science_AI_using_Python_-_Cyberdefense_Learning_(Mar_2025).part1.rar.html
https://trbt.cc/1m6rn1ax3efg/Udemy_-_Google_Colab_for_Data_Science_AI_using_Python_-_Cyberdefense_Learning_(Mar_2025).part2.rar.html
https://trbt.cc/j593zfddtdma/Udemy_-_Google_Colab_for_Data_Science_AI_using_Python_-_Cyberdefense_Learning_(Mar_2025).part3.rar.html
https://trbt.cc/i6zue3fbadi9/Udemy_-_Google_Colab_for_Data_Science_AI_using_Python_-_Cyberdefense_Learning_(Mar_2025).part4.rar.html