Introduction to Data Visualization with Matplotlib

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Visualizing data in plots and figures helps you to see patterns and provides insight. Visualizations can also be useful for data analysts or other data users. This course will show you how to use Matplotlib which is a powerful Python data visualization program. Matplotlib allows you to create rich visualizations using many types of data. This course will show you how to create visualizations using different types of data. These visualizations can also be automated, customized, and shared.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Python

What You Will Learn

Learn how to create, customize, and share data visualizations using Matplotlib

In this course, you will learn how to use Matplotlib, a powerful Python data visualization library

Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets

You will learn how to create visualizations for different kinds of data and how to customize, automate, and share these visualizations

Course Content

Expand all sections

Module 1: Introduction to Matplotlib

Module 2: Plotting time-series

Module 3: Quantitative comparisons and statistical visualizations

Module 4: Sharing visualizations with others

Course Instructors

Ariel Rokem

Senior Data Scientist, University of Washington

Ariel Rokem is a Data Scientist at the University of Washington eScience Institute. He received a PhD in neuroscience from UC Berkeley, and postdoctoral training in computational neuroimaging at Stan...

Course Reviews

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