Learn the Basics of Jupyter Notebooks and start your journey in the field of Data Science and Machine Learning

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

Description

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


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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 InstallΒ  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.

English
language

Content

Introduction

Welcome to the Course
Kindly Rate the Course
Why You Should Rate the Course
Get to know your Instructor
Udemy Player Overview

Getting Ready for the Course

Installing Anaconda Distribution
Google Collaboratory Overview
Replit Overview

Jupyter Notebook Crash Course

What is Jupyter Notebook
Opening Jupyter Notebook
Edit-Command-mode
Autocomplete
Menus Overview
What is Markdown
Markdown: Headings
Markdown: Blockquotes
Markdown: Math Symbols
Markdown: Line Break
Markdown: Bold Text
Markdown: Italic Text
Markdown: Horizontal line
Markdown: Ordered list
Markdown: Unordered list
Markdown: Internal Link
Markdown: External Link
Markdown: Adding Image
Markdown: Adding Video

BONUS SECTION

BONUS LECTURE