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Build Data Analysis tools using R and DPLYR

In this 2-hour long project-based course, you will learn one of the most powerful data analysis tools of the experts: the DPLYR package. By learning the six main verbs of the package (filter, select, group by, summarize, mutate, and arrange), you will have the knowledge and tools to complete your next data analysis project or data transformation. By the end of this project, you will be able to: Use the six main dplyr verbs Understand the dplyr package and its capabilities Get hands-on practice using R and dplyr functions This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, this means instant access to a cloud desktop with R and the appropriate packages installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Rating 4.0 based on 1 ratings
Length 2 weeks
Effort 1.5 hours
Starts Jun 26 (44 weeks ago)
Cost $9
From Rhyme, Coursera Project Network via Coursera
Instructor Chris Shockley
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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expecting a real time

Good one , but was expecting a real time project not multiple choice questions quiz !

multiple choice questions quiz

project not multiple

good one

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Rating 4.0 based on 1 ratings
Length 2 weeks
Effort 1.5 hours
Starts Jun 26 (44 weeks ago)
Cost $9
From Rhyme, Coursera Project Network via Coursera
Instructor Chris Shockley
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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