Jupyter Notebook for All Complete Jupyter Notebook for Data Science Big Course faq

learnersLearners: 29,054
instructor Instructor: Best PYTHON Courses and Tutorials instructor-icon
duration Duration: duration-icon

This Jupyter Notebook for All Complete Jupyter Notebook for Data Science Big Course is perfect for anyone looking to gain an in-depth understanding of the Jupyter Notebook system. Learners will explore the various versions and packages compatible with the Notebook system, master interactive widgets, namespaces, and working with Jupyter in multiuser mode. They will also use Jupyter with a big dataset and apply all the functionalities learned throughout the course. This course is ideal for data scientists, data analysts, data engineers, mathematicians, statisticians, scientists, engineers, image processing and computer vision professionals, machine learning and AI professionals, bioinformatics and biostatistics professionals, programmers and developers, students, job seekers, and anyone wanting to learn new stuff. Click now to get started!

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

2019-11-08 00:00:00

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This comprehensive Jupyter Notebook for All Complete Jupyter Notebook for Data Science Big Course provides an in-depth understanding of the Jupyter Notebook system. Participants will be guided through the installation of the Jupyter Notebook system in different environments, and learn to integrate it with various programming languages such as R, Python, JavaScript, and Julia. They will explore the various versions and packages that are compatible with the Notebook system, and gain mastery of interactive widgets, namespaces, and working with Jupyter in multiuser mode. Finally, learners will use Jupyter with a big dataset and apply all the functionalities learned throughout the course. This course is ideal for data scientists, data analysts, data engineers, mathematicians, statisticians, scientists, engineers, image processing and computer vision professionals, machine learning and AI professionals, bioinformatics and biostatistics professionals, programmers and developers, students, job seekers, and anyone wanting to learn new skills.

Course Provider

Provider Youtube's Stats at AZClass

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Yes, this is a free course offered by Youtube, please click the "go to class" button to access more details.

Q3: How many people have enrolled in this course?

So far, a total of 29054 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

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