Hands On Training

Introduction to the Tidyverse

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This article will introduce R programming language and Tidyverse, an extremely powerful tool set. The tools dplyr and ggplot will help you understand the interconnected process of data manipulation, visualization, and how they work together. You'll learn how to sort and filter historical data in order to answer exploratory questions. The ggplot2 package can convert these data into informative line-and-bar plots, histograms and other plots. This introduction will provide a glimpse of exploratory data analysis and Tidyverse's power. This introduction is for those who are not familiar with R but are interested data analysis.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R

You'll learn the intertwined processes of data manipulation and visualization using the tools dplyr and ggplot2

You'll learn to manipulate data by filtering, sorting, and summarizing a real dataset of historical country data in order to answer exploratory questions

You'll then learn to turn this processed data into informative line plots, bar plots, histograms, and more with the ggplot2 package

You’ll get a taste of the value of exploratory data analysis and the power of Tidyverse tools

Course Content

Expand all sections

Module 1: Data wrangling

Module 2: Data visualization

Module 3: Grouping and summarizing

Module 4: Types of visualizations

Course Instructors

David Robinson

Principal Data Scientist at Heap

Dave is the Principal Data Scientist at Heap. He has worked as a data scientist at DataCamp and Stack Overflow, and received his PhD in Quantitative and Computational Biology from Princeton Universit...

Course Reviews

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