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

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Introduction to Python and Google Colab Fundamentals

Dieser Kurs ist Teil von Spezialisierung für Google Colab for Data Science & AI using Python

Dozent: Packt - Course Instructors

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3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

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1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Python Programming
Kategorie: Algorithms
Kategorie: Program Development
Kategorie: Debugging
Kategorie: Object Oriented Programming (OOP)
Kategorie: Functional Design
Kategorie: Scripting
Kategorie: Scripting Languages
Kategorie: Computer Programming
Kategorie: Programming Principles
Kategorie: Data Structures

Wichtige Details

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Februar 2026

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung für Google Colab for Data Science & AI using Python

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In diesem Kurs gibt es 3 Module

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.

Das ist alles enthalten

26 Videos2 Lektüren1 Aufgabe

26 Videos Insgesamt 203 Minuten

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

2 Lektüren Insgesamt 20 Minuten

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

1 Aufgabe Insgesamt 15 Minuten

Introduction to Python and Google Colab - Assessment 15 Minuten

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.

Das ist alles enthalten

20 Videos1 Aufgabe

20 Videos Insgesamt 165 Minuten

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

1 Aufgabe Insgesamt 15 Minuten

Control Flow and Functions - Assessment 15 Minuten

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.

Das ist alles enthalten

24 Videos1 Lektüre3 Aufgaben

24 Videos Insgesamt 159 Minuten

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

1 Lektüre Insgesamt 10 Minuten

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

3 Aufgaben Insgesamt 90 Minuten

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

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Häufig gestellte Fragen

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.