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Visualizing & Communicating Results in Python with Jupyter 

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Visualizing & Communicating Results in Python with Jupyter
 at 
Coursera 
Overview

Duration

9 hours

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Visualizing & Communicating Results in Python with Jupyter
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Visualizing & Communicating Results in Python with Jupyter
 at 
Coursera 
Highlights

  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
Details Icon

Visualizing & Communicating Results in Python with Jupyter
 at 
Coursera 
Course details

More about this course
  • This course is designed for learners with limited coding experience, providing a foundation for presenting data using visualization tools in Jupyter Notebook.
  • This course helps learners describe and make inferences from data, and better communicate and present data.
  • The modules in this course will cover a wide range of visualizations which allow you to illustrate and compare the composition of the dataset, determine the distribution of the dataset, and visualize complex data such as geographically-based data. Completion of Data Analysis in Python with pandas & matplotlib in Spyder before taking this course is recommended.

Visualizing & Communicating Results in Python with Jupyter
 at 
Coursera 
Curriculum

Creating Comparison and Composition Charts

Navigating Codio Assignments

Comparison Charts Lesson Notes (Optional Download)

How to Reset a Graded Assignment in Codio

Creating Distribution Charts

Creating Specialized Visualizations

Communicating Data Using Jupyter notebook

Visualizing Data and Communicating Results with Jupyter

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Visualizing & Communicating Results in Python with Jupyter
 at 
Coursera 

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