Data Science & Real World Computing with Jupyter Notebook faq

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3.6
learnersLearners: 172
instructor Instructor: Packt Publishing instructor-icon
duration Duration: duration-icon

This course is designed to teach new learners the fundamentals of data science and real-world computing with Jupyter Notebook. It provides a step-by-step guide to exploring the possibilities in the field of Jupyter, from data exploration to visualization. Learners will learn how to use Jupyter's features to perform various data science tasks, such as data scraping and cleaning, and how to integrate Python 3, R, and Julia with Jupyter for various data science tasks. Take this course to learn how to leverage the power of Jupyter to perform data science tasks efficiently. You will also learn to create insightful visualizations, showing time-stamped and spatial data, and master relatively advanced methods in interactive numerical computing, high-performance computing, and data visualization.

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

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2018-12-18

Course Overview

❗The content presented here is sourced directly from Udemy 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 course is designed to introduce new learners to the fundamentals of data science and real-world computing with Jupyter Notebook. It provides a step-by-step guide to exploring the possibilities in the field of Jupyter, from data exploration to visualization. Learners will gain an understanding of how to use Jupyter's features to perform various data science tasks, such as data scraping and cleaning, and how to integrate Python 3, R, and Julia with Jupyter for various data science tasks. They will also learn to create insightful visualizations, showing time-stamped and spatial data, and master relatively advanced methods in interactive numerical computing, high-performance computing, and data visualization. Upon completion of the course, learners will be able to confidently leverage the power of Jupyter to perform various data science tasks efficiently.

Course Syllabus

Jupyter for Data Science

Jupyter Notebook for Data Science

Interactive Computing with Jupyter Notebook

Course Provider

Provider Udemy's Stats at AZClass

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faq FAQ for Jupyter Notebook Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 172 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
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Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Jupyter Notebook courses and certifications, our extensive collection at azclass.net will help you.

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