What background knowledge is necessary to enroll in this course?

No prior programming experience is required to take this course. It is designed for beginners, so it starts with the very basics of Python programming and gradually introduces more advanced topics. Basic computer literacy and an interest in learning programming will be sufficient to succeed in this course.

Who is this course for?

This course is ideal for beginners who want to learn Python programming and get hands-on experience using Google Colab. It is particularly suitable for individuals looking to start a career in programming, data science, or software development, as well as anyone interested in learning Python for personal projects or academic purposes.

How long does it take to complete the course?

The course contains approximately 10 hours of video content. Depending on your learning pace, it may take a few days to a week to complete the course, with time for hands-on practice and project work included.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Introduction to Python and Google Colab Fundamentals

Introduction to Python and Google Colab Fundamentals

This course is part of Google Colab for Data Science & AI using Python Specialization

Instructor: Packt - Course Instructors

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Learn the fundamentals of Python programming, including variables, data types, and operators.
Understand the core concepts of functional, procedural, and object-oriented programming in Python.
Master using Google Colab, including setting up accounts, navigating the interface, and using its features effectively.
Gain practical skills with hands-on exercises and projects, covering functions, lists, dictionaries, and sets.

Skills you'll gain

Details to know

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Build your subject-matter expertise

This course is part of the Google Colab for Data Science & AI using Python Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Learn Python and master Google Colab through a hands-on, step-by-step approach designed for beginners and those looking to refine their skills. This course begins by exploring the origins of Python and its evolution into one of the world’s most popular programming languages, before diving into why it’s favored in the tech community. You will also understand how Python compares to other languages and its real-world applications. As you continue, you will be introduced to core programming concepts, such as procedural programming, object-oriented programming (OOP), and functional programming. You'll learn how to work with variables, data types, operators, and write interactive programs, all while honing your skills within the Google Colab environment. The course is structured to gradually build your knowledge with practical hands-on exercises designed to deepen your understanding and programming abilities. The course is ideal for beginners looking to start programming or those who want to refine their skills with Python. It also caters to anyone interested in using Google Colab for coding projects. No prior programming experience is required, but a basic understanding of computers and the internet will be helpful. This course offers a comprehensive introduction to both Python and Google Colab at an accessible level. By the end of the course, you will be able to confidently write Python programs, navigate Google Colab, work with different data structures, and utilize Python for real-world applications. You'll also be prepared to apply your new skills in projects involving data analysis, automation, and beyond.

In this module, we will provide a comprehensive introduction to Python, exploring its history, popularity, and unique advantages compared to other programming languages. You'll also get familiar with Google Colab, a powerful cloud-based tool for coding, which we will set up and use to write and execute Python code. Through hands-on exercises, you’ll practice essential Python programming concepts.

What's included

26 videos2 readings1 assignment

26 videos Total 203 minutes

Origins and evolution of Python 3 minutes
Why Python is popular? 3 minutes
Compare and contrast Python with other languages 6 minutes
Showcase real-world applications 4 minutes
Procedural Programming 8 minutes
Object-Oriented Programming (OOP) 6 minutes
Functional Programming 8 minutes
Local Installation 7 minutes
Dependency Management 12 minutes
Virtual Environments 7 minutes
What is Google Colab? Its purpose & Advantages 4 minutes
Setting up a Google Colab account 2 minutes
Detailed tour of the Colab interface (menus, toolbar, file explorer) 10 minutes
Explain the concept of cells 6 minutes
Demonstrate basic cell operations (adding, deleting, moving, running) 5 minutes
Python Basics - Variables 15 minutes
Data Types - Integers & Type Conversion 13 minutes
Operators - Arithmetic, Comparison & Logical Operators 13 minutes
String Manipulations 17 minutes
Input() Function 10 minutes
Print() Function 11 minutes
Comments in Python 7 minutes
Python Code Style Guidelines 10 minutes
Hands On - Write a program that takes the user's name as input and greets them 3 minutes
Hands On - Write a program that performs basic arithmetic operations 8 minutes
Hands On - Format the Notebook 8 minutes

2 readings Total 20 minutes

Introduction to the Course 'Introduction to Python and Google Colab Fundamentals' 10 minutes
Full Specialization Resource 10 minutes

1 assignment Total 15 minutes

Introduction to Python and Google Colab - Assessment 15 minutes

In this module, we will focus on control flow in Python, teaching you how to use conditional statements and loops to make decisions and repeat actions. You will also learn how to create and use functions to organize your code for reuse and clarity. Additionally, we’ll dive into lambda functions and explore their practical applications in Python programming.

What's included

20 videos1 assignment

20 videos Total 165 minutes

Conditional Statements: If, Elif, Else 14 minutes
Conditional Statements: Nested If Statements 12 minutes
Loops: For Loop 14 minutes
Loops: While Loop 11 minutes
Loops: Nested Loops 10 minutes
Loop Control Statements: Break 10 minutes
Loop Control Statements: Continue 4 minutes
Loop Control Statements: Pass 5 minutes
Functions: Definition 8 minutes
Functions: Parameter and Return Values 12 minutes
Functions: Default Arguments 5 minutes
Functions: Keyword Arguments 6 minutes
Functions: Scope of Variables 7 minutes
Lambda Functions: Anonymous Functions 2 minutes
Lambda Functions: Syntax of Lambda Functions 6 minutes
Lambda Functions: Use Cases 7 minutes
Hands On - Write a function to calculate the factorial of a number 4 minutes
Hands On - Write a function to check if a number is prime 9 minutes
Hands On - Write a function to reverse a string 7 minutes
Hands On - Create a function to calculate the area of different shapes 13 minutes

1 assignment Total 15 minutes

Control Flow and Functions - Assessment 15 minutes

In this module, we will explore the core data structures in Python, including lists, tuples, dictionaries, and sets. You will learn how to create, access, modify, and iterate over these structures, with a focus on practical applications like list and dictionary comprehensions. By the end of this section, you will be able to leverage Python's data structures to solve problems and optimize your code.

What's included

24 videos1 reading3 assignments

24 videos Total 159 minutes

Lists: Creating lists using Square brackets 8 minutes
Lists: Indexing and slicing accessing elements by their position 7 minutes
Lists: Modifying Lists 6 minutes
Lists: List Methods 10 minutes
Lists: List Comprehensions 10 minutes
Lists: Iterating over Lists 8 minutes
Tuples: Creating tuples using Parentheses() 4 minutes
Tuples: Accessing Elements 3 minutes
Tuples: Immutability 5 minutes
Tuples: Tuples use cases 3 minutes
Dictionaries: Creating Dictionaries 7 minutes
Dictionaries: Accessing Values 6 minutes
Dictionaries: Modifying Dictionaries 3 minutes
Dictionaries: Dictionary Methods 7 minutes
Dictionaries: Dictionary Comprehensions 11 minutes
Dictionaries: Iterating over Dictionaries 6 minutes
Sets: Iterating over Dictionaries 5 minutes
Sets: Uniqueness 5 minutes
Set Operations 8 minutes
Set Method 3 minutes
Hands On - Create a dictionary to store student information 6 minutes
Hands On - Use sets to find common elements between two lists 5 minutes
Hands On - Implement a shopping cart using a dictionary to store items 16 minutes
Hands On - Write a program to find the most frequent element in a list 7 minutes

1 reading Total 10 minutes

Conclusion to the Course 'Introduction to Python and Google Colab Fundamentals' 10 minutes

3 assignments Total 90 minutes

Data Structures - Assessment 15 minutes
Full Course Practice Assessment 15 minutes
Full Course Assessment 60 minutes

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Frequently asked questions

Python is a versatile, high-level programming language known for its simplicity and readability. It has become one of the most popular programming languages due to its wide range of applications in fields like web development, data analysis, artificial intelligence, and scientific computing. Python's strong community support and vast library ecosystem make it an excellent choice for both beginners and experienced developers alike.

This course introduces you to Python programming and how to effectively use Google Colab for running Python code. You will learn the fundamental concepts of Python, such as variables, data types, control flow, functions, and data structures. The course also covers key features of Google Colab, like setting up an account, navigating the interface, and running code in a notebook. Hands-on projects are included to solidify your understanding.

Upon completing this course, you will have a solid foundation in Python programming. You will be able to write basic Python programs, work with different data types and control flow structures, define and use functions, and manipulate data using lists, tuples, dictionaries, and sets. You’ll also gain proficiency in using Google Colab for Python development, including managing your projects and using virtual environments.