Learn the Basics of Jupyter Notebooks and start your journey in the field of Data Science and Machine Learning
- Free tutorial
- Rating: 4.7 out of 54.7 (16 ratings)
- 615 students
- 1hr 27min of on-demand video
- Created by Fahad Masood Reda
- English
What you’ll 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
Requirements
- There are no requirements or prerequisites as this course is for complete beginners
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
In this course 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
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.
Who this course is for:
- 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
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Course content
4 sections • 28 lectures • 1h 27m total lengthCollapse all sections
Introduction5 lectures • 9min
- Welcome to the Course01:31
- Kindly Rate the Course01:23
- Why You Should Rate the Course01:10
- Get to know your Instructor01:14
- Udemy Player Overview03:47
Getting Ready for the Course3 lectures • 20min
- Installing Anaconda Distribution06:40
- Google Collaboratory Overview09:46
- Replit Overview03:34
Jupyter Notebook Crash Course19 lectures • 58min
- What is Jupyter Notebook02:57
- Opening Jupyter Notebook06:57
- Edit-Command-mode02:30
- Autocomplete07:14
- Menus Overview10:12
- What is Markdown00:53
- Markdown: Headings03:37
- Markdown: Blockquotes02:17
- Markdown: Math Symbols02:19
- Markdown: Line Break01:05
- Markdown: Bold Text01:45
- Markdown: Italic Text01:48
- Markdown: Horizontal line00:58
- Markdown: Ordered list00:58
- Markdown: Unordered list01:33
- Markdown: Internal Link04:13
- Markdown: External Link01:46
- Markdown: Adding Image03:25
- Markdown: Adding Video01:43
BONUS SECTION1 lecture • 1min
- BONUS LECTURE00:15
