Google Colab for Data Science & AI using Python
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.
Requirements
- Basic Computer Skills – Comfortable with using a computer, browsing the internet, and managing files.
- A Google Account – Required to access Google Colab (free to create).
- Internet Access – Since Google Colab runs online, a stable internet connection is necessary.
- Curiosity and Willingness to Learn – A problem-solving mindset and eagerness to explore Python.
- Basic Mathematics Understanding (Optional) – A general understanding of basic math concepts (addition, subtraction, multiplication, division) will be helpful, but not mandatory.
- No Software Installation Required! – Since we will be using Google Colab, there is no need to install Python or any additional software on your local machine. Everything runs in the cloud!
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
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.
Who this course is for:
- Absolute Beginners in Programming – If you’ve never written a line of code before, don’t worry! This course will guide you step by step in a beginner-friendly way.
- Students & Educators – Ideal for students learning Python for the first time and educators who want to introduce Python programming in their curriculum.
- Aspiring Data Scientists & Analysts – If you want to explore data science, machine learning, or automation, Python is an essential skill, and this course will help you build a strong foundation.
- Professionals Looking to Upskill – Whether you're in IT, finance, marketing, or any other field, Python can help automate tasks, analyze data, and enhance productivity.
- Developers & Programmers from Other Languages – If you have experience in other programming languages like Java, C++, or JavaScript and want to learn Python quickly, this course will provide a smooth transition.
- Business & Non-Tech Professionals – Learn how Python can be used for automation, basic data analysis, and productivity enhancements without needing extensive programming knowledge.
- Machine Learning & AI Enthusiasts – Python is the foundation of artificial intelligence and machine learning. This course will help you start your journey into these advanced fields.
- Freelancers & Entrepreneurs – If you're looking to add Python to your skill set for freelancing, web development, or automation, this course will be a great starting point.
Instructor
- 4.8 Instructor Rating
- 269 Reviews
- 2,614 Students
- 6 Courses
CyberDefenseLearning is a premier provider of cybersecurity education, Generative AI training, and cloud computing expertise, dedicated to empowering learners and organizations with the skills needed to thrive in the digital age. With over 20 years of industry experience, CyberDefenseLearning specializes in delivering comprehensive, hands-on courses designed to tackle real-world challenges in cybersecurity, cloud technologies, and emerging AI innovations.
Our Expertise Includes:
Cybersecurity Training: Developing resilient defenses with practical skills in network security, ethical hacking, and incident response.
Cloud Computing Mastery: Equipping learners to design, deploy, and manage secure cloud solutions across leading platforms.
Generative AI Education: Unlocking the potential of AI to drive innovation through tailored, application-focused training.
At CyberDefenseLearning, we are committed to fostering a deep understanding of technology through interactive learning, case studies, and industry best practices. Join us to stay ahead of the curve in an ever-evolving digital landscape.