Importing Data in the Tidyverse

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4.5

(2)

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Course Features

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Duration

15 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

Beginner

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Teaching Type

Self Paced

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Video Content

15 hours

Course Description

Data science projects can be difficult because it is often the hardest part of data science. Before any insights can be gained, data must be imported and harmonised into a consistent format. This course will teach you how to import data from common formats into R and how to harmonize different types of datasets from different sources. This course is essential if you work in an organisation where data is collected by different departments using different storage formats and systems.

Course Overview

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Describe different data formats

Apply tidyverse functions to import data into r from external formats

Obtain data from a web api

Course Instructors

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Carrie Wright, PhD

Johns Hopkins Bloomberg School of Public Health

Carrie Wright is an Assistant Scientist in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health (JHSPH). Dr. Wright is a member of the Johns Hopkins Data Science La...
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Shannon Ellis, PhD

UC San Diego

Shannon Ellis is an Assistant Teaching Professor in the Cognitive Science Department at UC San Diego where she teaches data science and programming to undergraduates. Shannon is particularly passiona...
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Stephanie Hicks, PhD

Johns Hopkins Bloomberg School of Public Health

Stephanie Hicks is an Assistant Professor in the Department of Biostatistics (https://www.jhsph.edu/departments/biostatistics/) at the Johns Hopkins Bloomberg School of Public Health (https://www.jhs...
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Roger D. Peng, PhD

Bloomberg School of Public Health

Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a Co-Editor of the Simply Statistics blog. He received his Ph.D. in Statistics from the Univ...

Course Reviews

Average Rating Based on 2 reviews

4.6

100%

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