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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
Course Overview
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.
Pre-requisites
- There are no requirements or prerequisites as this course is for complete beginners
Target Audience
- 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
Curriculum 23 Lectures 01:17:06
-
Section 1 : Welcome to the Course
- Lecture 2 :
- Meet Your Instructor
-
Section 2 : Getting Ready for the course
- Lecture 1 :
- Installing Anaconda Distribution
- Lecture 2 :
- Google Collaboratory Overview
-
Section 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
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
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Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
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Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
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Can i cancel anytime?
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Instructor
4858 Course Views
7 Courses
Hi! My name is Fahad Masood Reda, an MIS (Management Information Systems) and Data Science Mentor and a life coach, from Saudi Arabia. I hold a BSc in MIS and Masters in Computer Information systems in the field of Data Science from King Abdulaziz University. In 2008 I started mentoring MIS students locally and in 2014 I started my blog(TheMIS)so I can reach more people, Now I mentor and teach in the field of MIS and Data Science and WordPress Globally via meetups and Online webinars, and my blog and YouTube Channel, I'm passionate about helping other people achieve their potential through all aspects of their life. I really hope my courses will help you do better in everything from your career to your personal goals, I'm constantly creating new courses both on my own academy and on Udemy so let me know if there's a thing you'd like to see in particular. Currently offering Data Science and MIS and Self Development-related courses
Thanks for reading and enjoy the learning journey!
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