Visualizing Time Series Data in Python
Course Report
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Manipulating Time Series Data in Python
Introduction to Data Visualization with Matplotlib
What You Will Learn
In the field of Data Science, it is common to be involved in projects where multiple time series need to be studied simultaneously
In this chapter, you will gain a deeper understanding of your time series data by computing summary statistics and plotting aggregated views of your data
Visualize seasonality, trends and other patterns in your time series data
You will go beyond summary statistics by learning about autocorrelation and partial autocorrelation plots
You will learn how to leverage basic plottings tools in Python, and how to annotate and personalize your time series plots
Course Instructors
Thomas Vincent
Head of Data Science at Getty Images