Google Colab for Data Science & AI using Python

Master Python Programming from Scratch Using Google Colab –Hands-on, Beginner-Friendly, and Practical.

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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

  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.

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.


Your Instructor


Anand Nednur
Anand Nednur

Anand Rao is a senior technical instructor and cloud consultant. He has worked with large enterprises for about 15 years and has a wide range of technologies in his portfolio. Anand is adept at not just cloud platforms (Azure , AWS and GCP) but also well-versed with IAM, security and automation with powershell and python.

In addition, he has been developing and updating the content for various courses. He has been assisting many engineers in the lab examinations and securing certifications.

Anand Rao has delivered instructor led trainings in several states in India as well as several countries like USA, Bahrain, Kenya and UAE. He has worked as a Microsoft Certified Trainer globally for Corporate Major Clients.

Anand is also a Certified seasoned professional holding certifications in following platforms:

Microsoft Certified Trainer ( MCT )
SY0-401 : CompTIA Security +
Scrum Certified master ( SCRUM )
ITIL V3
Certified Network Defender ( CND – EC-Council )

Certified Ethical hacker ( CEH – EC-Council )
70-640 MS Active Directory
70-533 MS Azure Administration
70-534 MS Azure Architecture
AWS certified solutions Architect – Associate
AWS certified sysops administrator – Associate
Google Cloud Platform-Cloud Architect (GCP)
Certified Cloud Security Knowledge ( CCSK )


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Course Curriculum


  Course Overview
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  Section : Introduction to Python and Google Colab
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  Section : Module 2 Control Flow and Functions
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  Section : Module 3 Data Structures
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  Section : Module 4 Working with Libraries in Colab
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  Section : Module 5 Object-Oriented Programming (OOP)
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  Section : Module 6 File Handling and Exception Management
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  Section : Module 7 Intermediate Python
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  Section : Advanced Python Concepts
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  Section : Data Analysis and Visualization
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  Audio Version of Training
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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