This tutorial on Jupyter Notebook will help to learn install, run, and the basic overview of the Notebook. Jupyter Notebook Tutorial: The Definitive Guide By Datacamp and by the end of this course, you will have the skills necessary to assemble Jupyter notebooks. You will also learn the applications to data analysis, visualisations, extending the Notebook User Interface, etc. The course will help you learn how to install, create and managing Groups of cells, shell commands and special objects, styling cell output in the notebook. This is a beginner level course provided with a duration of 2h 14 min. Getting Started with Jupyter Notebook And Python By Pluralsight The second course will help you learn to configure Jupyter, Console, Client and core modules, how to access the Logger and use widgets, building data dashboards, monitoring application directories, etc. and also you will learn to use the interactive widgets to manipulate and visualise data in real time. Here you can learn about the basics like installation, run, implement programming languages such as R, Python, Julia, etc. The first one dives deep to enhance your expertise into interactive computing, sharing and integrating using Jupyter. Two such courses are Learning Path: Jupyter: Interactive Computing with Jupyter and the other is the Jupyter in Depth. There are several courses offered in Jupyter Notebook by Udemy. The enrolling will start from 27th Feb 2019, you can also audit this course for free where you can access the course materials without graded assignments or the ability to earn a certificate.
The course shed lights into basics of Jupyter Notebook, its features, etc.
It is basically a part of the 9 courses provided by IBM Data Science Professional Certificate Specialisation. You will learn about the uses of tools, the suitable programming language that they can execute, limitations and many more.
This is a beginner level course offered in Coursera where you will learn about the various data science tools and their features. Opensource Tools For Data Science By Coursera In this article, we list down five resources where you can learn the basics, features and many more of this prominent notebook. and because of the mixed variety of the rich text elements, codes, other functionalities, this web application is an ideal one for a data science enthusiast. Jupyter Notebook is a web application where you can text, code, create and share your live documents, etc.
0 kommentar(er)
