Jupyter Notebook for beginners

Learn how to work with it
Rating: 4.4 out of 5 (33 ratings)
913 students
English [Auto]
Work with the interactive, and powerful tool - Jupyter Notebook
Create your own notebooks on Python, Julia, R and other supported languages
Run code snippets and view the results of more than 40 languages in the notebooks
Create and visualize graphs,plots, and charts in the notebook
Work faster on notebooks using keyboard shortcuts


  • Access to a working computer
  • Knowledge of Python is an added advantage


This is an introductory course for absolute beginners on Jupyter notebook.

If you want to have a highly lucrative career in machine learning, data science, deep learning or other data driven technologies, you should know how to work with Jupyter Notebook. It is one of the most important tools you need for your day to day job as a machine learning engineer or as a data scientist.

Notebook is also used among scientific communities. It is similar to a physical notebook - you can write textual content, embed images, videos, and run the code within the notebook itself. If you are learning Python, Julia or R, its highly recommended you start using Jupyter Notebook - you'll love it!

Who this course is for:

  • All who want to use Jupyter Notebooks
  • Python programmers
  • Data Scientists and Data Analysts
  • Machine Learning Engineers

Course content

2 sections • 11 lectures • 33m total length
  • Overview and Installation
  • Launching/Opening Jupyter Notebook


Lead instructor - Application development, Web development
Anup Shukla
  • 4.5 Instructor Rating
  • 260 Reviews
  • 15,980 Students
  • 4 Courses

Hi! I'm Anup Shukla.

I have extensive experience of more than 14 years with banking, financial sector, and customer service domain, as software developer, web developer, database administrator, and trainer.

During my professional services, I realized that data and its management is the next big thing.  It is the oil for smooth functioning of businesses across the globe. I'm here at Udemy to share my knowledge and experiences with you.

I'm going to teach you about various programming languages and data driven technologies that you can use effectively in the field of data analytics,  data science, and machine learning.