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

Course Feature

Cost

Free
Provider

Youtube
Certificate

No Information
Language

English
Start Date

2019-11-08
Learners

No Information
Duration

No Information
Instructor

Best PYTHON Courses and Tutorials

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2.0

29,054 Ratings

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 Overview

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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.

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