Welcome to this project-based course Data Manipulation with dplyr in R. In this project, you will learn how to manipulate data with the dplyr package in R.
Data Manipulation with dplyr in R
Gain insight into a topic and learn the fundamentals.
4.6
(21 reviews)
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand the use of tidyverse and the dplyr package
Manipulate the gapminder dataset using different dplyr verbs
Combine different dplyr verbs to get the desired results
Details to know
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Assessments
2 assignments
Taught in English
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There is 1 module in this course
Welcome to this project-based course Data Manipulation with dplyr in R. In this project, you will learn how to manipulate data with the dplyr package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. Also, you will learn how to combine different dplyr verbs to manipulate the gapminder dataset to get the desired result. Note, you do not need to be an expert data analyst, data scientist or statistical analyst to be successful in this guided project, just a familiarity with the R language will suffice. If you do not have a prior experience with R, I recommend that you should take the Getting Started with R project before taking this project.
What's included
2 readings2 assignments1 ungraded lab1 plugin
Instructor
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Recommended if you're interested in Data Analysis
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Learner reviews
4.6
21 reviews
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72.72%
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Showing 3 of 21
AL
5
Reviewed on Jan 30, 2023
Great at explaining, very useful template to follow up with the instructor!
BS
5
Reviewed on Jan 13, 2022
Excellent practice with dplyr, perfect for technical assessments for jr data analysts to practice with.
ZN
4
Reviewed on Jan 5, 2021
I had a little bit hard time understanding the instructor's accent, but it doesn't affect the knowledge gaining. I had some experience with R, this is a good course to cover the bases.
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,