Hands On Training

Dealing With Missing Data in R

DataCamp

(3)

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

Missing data is an issue in any data analysis. Data missing can occur in unexpected places, making it hard to understand analyses. This course will show you how to use tidyverse, the naniar package, and visualize missing values. You will clean up missing values and then use them to analyze data. Other patterns of missing data will also be revealed. You will also learn how to fill out missing values with imputation models. These imputed datasets will also help you visualise, evaluate and make decisions.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to R

Introduction to the Tidyverse

What You Will Learn

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data

You will also learn how to "fill in the blanks" of missing values with imputation models, and how to visualize, assess, and make decisions based on these imputed datasets

In this chapter, you will learn about filling in the missing values in your data, which is called imputation. You will learn how to impute and track missing values, and what the good and bad features of imputations are so that you can explore, visualise,

You will learn how to use ggplot to explore and visualize how values changes as other variables go missing

Course Content

Expand all sections

Module 1: Why care about missing data?

Module 2: Wrangling and tidying up missing values

Module 3: Testing missing relationships

Module 4: Connecting the dots (Imputation)

Course Instructors

Nicholas Tierney

Statistician

I recently completed my PhD in Statistics at QUT, and am now a Research Fellow in Statistics at Monash University working with Rob Hyndman and Di Cook in the NUMBAT group. My research aims to improve...

Course Reviews

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