YoVDO

Joining Data in R using dplyr

Offered By: Coursera Project Network via Coursera

Tags

R Programming Courses Data Analysis Courses Data Manipulation Courses JOIN Operations Courses

Course Description

Overview

You will need to join or merge two or more data sets at different points in your work as a data enthusiast. The dplyr package offers very sophisticated functions to help you achieve the join operation you desire. This project-based course, "Joining Data in R using dplyr" is for R users willing to advance their knowledge and skills. In this course, you will learn practical ways for data manipulation in R. We will talk about different join operations and spend a great deal of our time here joining the sales and customers data sets using the dplyr package. By the end of this 2-hour-long project, you will perform inner join, full (outer) join, right join, left join, cross join, semi join, and anti join using the merge() and dplyr functions. This project-based course is an intermediate-level course in R. Therefore, to get the most of this project, it is essential to have prior experience using R for basic analysis. I recommend that you complete the project titled: "Data Manipulation with dplyr in R" before you take this current project.

Syllabus

  • Project Overview
    • You will need to join or merge two or more data sets at different points in your work as a data enthusiast. The dplyr package offers very sophisticated functions to help you achieve the join operation you desire. This project-based course, "Joining Data in R using dplyr" is for R users willing to advance their knowledge and skills. In this course, you will learn practical ways for data manipulation in R. We will talk about different join operations and spend a great deal of our time here joining the sales and customers data sets using the dplyr package. By the end of this 2-hour-long project, you will perform inner join, full (outer) join, right join, left join, cross join, semi join, and anti join using the merge() and dplyr functions. This project-based course is an intermediate-level course in R. Therefore, to get the most of this project, it is essential to have prior experience with using R for basic analysis. I recommend that you should complete the project titled: "Data Manipulation with dplyr in R" before you take this current project.

Taught by

Arimoro Olayinka Imisioluwa

Related Courses

Excel 2010
Miríadax
Intro to Data Science
Udacity
Data Manipulation at Scale: Systems and Algorithms
University of Washington via Coursera
Statistical Computing with R - a gentle introduction
University College London via Independent
Introducción a Data Science: Programación Estadística con R
Universidad Nacional Autónoma de México via Coursera