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Introduction to Data in R

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$12

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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

Beginner

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

To answer questions, scientists use rigorous methods and closely observed observations. These observations are collected from field notes, surveys and experiments. These observations are called data. Statistics is the study of how data can be collected, analyzed and drawn conclusions. It is helpful to understand statistics in the context of an investigation. 4) Form a conclusion. This course will concentrate on the first two steps.

Course Overview

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Virtual Labs

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International Faculty

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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

Skills You Will Gain

Prerequisites/Requirements

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Introduction to the Tidyverse

What You Will Learn

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You will learn about observational studies and experiments, scope of inference, and Simpson's paradox

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This chapter introduces terminology of datasets and data frames in R

Course Instructors

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Mine Cetinkaya-Rundel

Associate Professor at Duke University & Data Scientist and Professional Educator at RStudio

Mine is the Director of Undergraduate Studies and an Associate Professor of the Practice in the Department of Statistical Science at Duke University as well as a Professional Educator at RStudio. Her...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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