Information Technology
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Case Studies: Manipulating Time Series Data in R

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Interactive exercises and access to data will allow you to improve your knowledge of time series topics. You will explore a variety of datasets about Boston, including data regarding weather and economic trends, as well as data on local sports teams.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Manipulating Time Series Data with xts and zoo in R

What You Will Learn

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In this course, you will strengthen your knowledge of time series topics through interactive exercises and interesting datasets

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You’ll explore a variety of datasets about Boston, including data on flights, weather, economic trends, and local sports teams

Course Instructors

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Lore Dirick

Director of Data Science Education at Flatiron School

Lore is a data scientist with expertise in applied finance. She obtained her PhD in Business Economics and Statistics at KU Leuven, Belgium. During her PhD, she collaborated with several banks workin...
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Matt Isaacs

Political Science PhD interested in data science in defense, security, and international relations

Matt Isaacs is a former Course Development Intern at DataCamp . Matt holds a PhD in Political Science from Brandeis University and has extensive experience in applied data science across the public s...

Course Reviews

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