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Introduction to Data in R

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Introduction to Data in R

Learn more about data types, sample strategies, and experimental design.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Beginner
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Data ManagementR ProgrammingData Analysis

Learning Goals

You will learn about observational studies and experiments, scope of inference, and Simpson's paradox
This chapter introduces terminology of datasets and data frames in R

Course Content

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Prerequisites/Requirements

Introduction to the Tidyverse

Instructors

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Mine Cetinkaya-Rundel

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

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Course Overview

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

Post course interactions

Virtual labs

Case-Based Learning

International faculty

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Course Cover

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