Hands On Training

Introduction to Data Visualization with Seaborn

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

Seaborn is a powerful Python library that makes it easy to create informative and attractive visualizations. This course will introduce Seaborn and show you how to visualize data with box plots and scatter plots. While you examine survey responses about student hobbies and factors that influence academic success, this will be done. Seaborn's benefits as a statistical visualization tool will be discussed, along with how it calculates confidence intervals. Seaborn will be used in a variety of situations to help you analyze and communicate your data.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Data Science in Python

What You Will Learn

Learn how to create informative and attractive visualizations in Python using the Seaborn library

This course provides an introduction to Seaborn and teaches you how to visualize your data using plots such as scatter plots, box plots, and bar plots

You’ll do this while exploring survey responses about student hobbies and the factors that are associated with academic success

You’ll also learn about some of Seaborn’s advantages as a statistical visualization tool, such as how it automatically calculates confidence intervals

Course Content

Expand all sections

Module 1: Introduction to Seaborn

Module 2: Visualizing Two Quantitative Variables

Module 3: Visualizing a Categorical and a Quantitative Variable

Module 4: Customizing Seaborn Plots

Course Instructors

Erin Case

Data Scientist

Erin is a Data Scientist who is passionate about both statistics and education. She enjoys experimental design, communicating data analyses to a wide range of audiences, and developing user-facing da...

Course Reviews

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