Case Studies: Manipulating Time Series Data in R
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
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Manipulating Time Series Data with xts and zoo in R
What You Will Learn
In this course, you will strengthen your knowledge of time series topics through interactive exercises and interesting datasets
You’ll explore a variety of datasets about Boston, including data on flights, weather, economic trends, and local sports teams
Course Instructors
Lore Dirick
Director of Data Science Education at Flatiron School
Matt Isaacs
Political Science PhD interested in data science in defense, security, and international relations