Jupyter Notebook for Data Science

Online Course

Udemy
Jupyter Notebook for Data Science

What is the course about?

Jupyter Notebook for Data Science
The course Jupyter Notebook for Data Science is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Collaborate, create interactive visualizations, and manipulate big data in the language of your choice.

Course description
  • Jupyter Notebook for Data Science
  • Learn how to efficiently use Jupyter Notebook for data manipulation and visualisation
  • Perform interactive data analysis and visualisation using Jupyter Notebook on real data
  • Analyse time series data using Pandas
  • Create interactive widgets where non-technical users can also get involved in the data exploration using the notebooks you create
  • Scrape websites to build datasets and deal with common challenges like unstructured or missing data
  • Basic understanding of Python and Jupyter Notebookis required. A basic understanding of math and statistics will come in handy.
  • 3 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Jupyter Notebook for Data Science

Course Topic

Development, ECMAscript, Web Development

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Jupyter Notebook for Data Science

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Jupyter Notebook for Data Science
provided by Udemy

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School: Udemy
Topic: Development, Jupyter Notebook, Programming Languages