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Data Science & Real World Computing with Jupyter Notebook

Learners: 172

Instructor: Packt Publishing

Duration:

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.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start 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.