Hands On Training

Reporting with R Markdown

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

R Markdown is a straightforward formatting language that can help you extract insights from data. Your findings can be published in a PDF or HTML format, as well as Shiny applications. This course will show you how to modify and add each element to a Markdown file. Analyze data with dplyr, and create visualizations with ggplot2. Reports can be used to create plots and analyzes. You will gain hands-on experience creating reports as you work with real data provided by the International Finance Corporation (IFC). Learn how to create code chunks, create tables and lists, and include an index. Parameters and Cascading Stil Sheets will allow you to personalize your fonts and colors so that your reports stand out.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Introduction to the Tidyverse

What You Will Learn

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code

You'll analyze data with dplyr, create visualizations with ggplot2, and author your analyses and plots as reports

You’ll gain hands-on experience of building reports as you work with real-world data from the International Finance Corporation (IFC)—learning how to efficiently organize reports using code chunk options, create lists and tables, and include a table of co

By the end of the course, you'll have the skills you need to add your brand’s fonts and colors using parameters and Cascading Style Sheets (CSS), to make your reports stand out

Course Content

Expand all sections

Module 1: Getting Started with R Markdown

Module 2: Adding Analyses and Visualizations

Module 3: Improving the Report

Module 4: Customizing the Report

Course Instructors

Amy Peterson

Head of Core Curriculum at DataCamp

Amy leads the Core Curriculum team at DataCamp, focusing on Python, R, and SQL content. She holds a Master of Public Health in Biostatistics and Epidemiology from Johns Hopkins.

Course Reviews

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