Learn Jupyter Notebooks for Beginners

Learn Jupyter Notebooks for Beginners, available at Free, has an average rating of 4.45, with 28 lectures, based on 40 reviews, and has 1450 subscribers.

You will learn about What are Jupyter Notebooks How to Install Jupyter Notebooks How to use Jupyter Notebooks in their projects How to run Python Codes in Jupyter Notebooks How to add Images in Jupyter Notebooks How to add Videos in Jupyter Notebooks What is Replit How to Register to Replit How to run your Python codes on Replit What is Google Colab How to run your python codes on Google Colab What is Anaconda Distribution How to Install Anaconda Distribution Learn The Basics of Markdown and use it in Jupyter Notebooks This course is ideal for individuals who are Anyone who wants to Learn Jupyter Notebooks or Anyone who wants to run their codes on Jupyter Notebooks or Anyone who wants to Learn Data Science and want to use Jupyter Notebooks or Anyone who wants to document his code using Jupyter Notebooks It is particularly useful for Anyone who wants to Learn Jupyter Notebooks or Anyone who wants to run their codes on Jupyter Notebooks or Anyone who wants to Learn Data Science and want to use Jupyter Notebooks or Anyone who wants to document his code using Jupyter Notebooks.

Enroll now: Learn Jupyter Notebooks for Beginners

Summary

Title: Learn Jupyter Notebooks for Beginners

Price: Free

Average Rating: 4.45

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

What are Jupyter Notebooks

How to Install Jupyter Notebooks

How to use Jupyter Notebooks in their projects

How to run Python Codes in Jupyter Notebooks

How to add Images in Jupyter Notebooks

How to add Videos in Jupyter Notebooks

What is Replit

How to Register to Replit

How to run your Python codes on Replit

What is Google Colab

How to run your python codes on Google Colab

What is Anaconda Distribution

How to Install Anaconda Distribution

Learn The Basics of Markdown and use it in Jupyter Notebooks

Who Should Attend

Anyone who wants to Learn Jupyter Notebooks

Anyone who wants to run their codes on Jupyter Notebooks

Anyone who wants to Learn Data Science and want to use Jupyter Notebooks

Anyone who wants to document his code using Jupyter Notebooks

Target Audiences

Anyone who wants to Learn Jupyter Notebooks

Anyone who wants to run their codes on Jupyter Notebooks

Anyone who wants to Learn Data Science and want to use Jupyter Notebooks

Anyone who wants to document his code using Jupyter Notebooks

The Jupyter Notebook Crash Course is designed to provide a comprehensive introduction to the powerful Jupyter Notebook environment. Whether you’re a beginner or an experienced programmer, this course will equip you with the necessary knowledge and skills to effectively leverage Jupyter Notebook for data analysis, visualization, and interactive computing.

Throughout this course, you will embark on a hands-on journey, exploring the core features, functionalities, and best practices of Jupyter Notebook. You will learn how to create, edit, and organize Jupyter Notebook documents, and gain proficiency in executing and documenting code, which will help you in manipulating data and presenting your findings

In this course you will learn:

1. What are Jupyter Notebooks

2. How to Install Jupyter Notebooks

3. How to use Jupyter Notebooks in their projects

4. How to run Python Codes in Jupyter Notebooks

5. How to add Images in Jupyter Notebooks

6. How to add Videos in Jupyter Notebooks

7. What is Replit

8. How to Register to Replit

9. How to run your Python codes on Replit

10. What is Google Colab

11. How to run your Python codes on Google Colab

12. What is Anaconda Distribution

13. How to Install  Anaconda Distribution

14. Learn the Basics of Markdown and use it in Jupyter Notebooks

By the end of this crash course, you will have a solid foundation in Jupyter Notebook, enabling you to efficiently explore, analyze, and visualize data, create interactive presentations, and collaborate effectively with others. Whether you’re a data scientist, researcher, analyst, or developer, the skills acquired in this course will prove invaluable in your professional endeavors.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the Course

Lecture 2: Kindly Rate the Course

Lecture 3: Why You Should Rate the Course

Lecture 4: Get to know your Instructor

Lecture 5: Udemy Player Overview

Chapter 2: Getting Ready for the Course

Lecture 1: Installing Anaconda Distribution

Lecture 2: Google Collaboratory Overview

Lecture 3: Replit Overview

Chapter 3: Jupyter Notebook Crash Course

Lecture 1: What is Jupyter Notebook

Lecture 2: Opening Jupyter Notebook

Lecture 3: Edit-Command-mode

Lecture 4: Autocomplete

Lecture 5: Menus Overview

Lecture 6: What is Markdown

Lecture 7: Markdown: Headings

Lecture 8: Markdown: Blockquotes

Lecture 9: Markdown: Math Symbols

Lecture 10: Markdown: Line Break

Lecture 11: Markdown: Bold Text

Lecture 12: Markdown: Italic Text

Lecture 13: Markdown: Horizontal line

Lecture 14: Markdown: Ordered list

Lecture 15: Markdown: Unordered list

Lecture 16: Markdown: Internal Link

Lecture 17: Markdown: External Link

Lecture 18: Markdown: Adding Image

Lecture 19: Markdown: Adding Video

Chapter 4: BONUS SECTION

Lecture 1: BONUS LECTURE

Instructors

Fahad Masood Reda
Data Science & MIS Mentor | Founder of TheMIS & DataArena

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 4 votes

4 stars: 11 votes

5 stars: 23 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!