Data Wrangling with dplyr
Get an introduction to the grammar of data manipulation using dplyr. Learn to select, filter, sort, mutate and summarize data
In this course, you will master sophisticated techniques for data manipulation using the dplyr package. You will learn to filter, select, sort, mutate and summarize data. You will learn to join tables, make your code readable using pipes and use tibbles instead of data frames. Data does not come in the structure or shape in which we need it for analysis and a lot of time is spent in getting the data into shape. As such reshaping data is an invaluable skill set for a data scientist.
What will I learn?
After completing this course, you should be able to:
Self Paced Online Courses
Our online self paced courses are designed to allow participants to learn at their convenience. Learning outcomes are clearly defined and enhanced by the use of byte sized videos, PPTs, assignments, quizzes, suggested reading and case studies. Participants can take advantage of the discussion forum to discuss with their peers and the instructors to enhance their learning experience.
Course Features
Access to a computer with an internet connection
Ability and permissions to download files & install software
Basic knowledge of English (Course is delivered in English language)
Who is this course for?
We expect the students to have some prior experience with R and RStudio. If you have never used R before, our Introduction to R course will help you prepare for this course.
If I do not meet the requirements to enroll, what should I do?
We have a number of free courses that can help you prepare including:
Introduction to R
Import Data into R
You will use RStudio for the practicals. All the R scripts used in the examples, assignments and case study are available for download from the Learning Management System. For those of you who face issues installing RStudio on your system, we have created a RStudio cloud project where you can practice without installing any software or downloading files.
Do I need to apply? What are the admission criteria?
No. This course is open to enrolment for all and accepts students regardless of experience and background.
Slides
R Script
Data
Blog Post
Course Agenda
Case Study - Overview
Case Study - Solution
Case Study - Data
Learn to filter data
Case Study
Learn to select data
Case Study
Learn to group data
Learn to summarize data - Part 1
Learn to summarize data - Part 2
Learn to summarize data - Part 3
Learn to create new variables
Learn to sort data
Case Study - Solution
Summary