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Project: Data Analysis in R with dplyr

Project: Data Analysis in R with dplyr

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8.9/10 (Our Score)
Product is rated as #8 in category R

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 …

Instructor Details

I am an R enthusiast, hiker, and amateur astronomer. My favorite hike is located in Mt. Rainier National Park, my favorite Deep Sky Object is Alberio, and my favorite R package is dplyr (since I use it everyday). I also have a dog named Coog (Lllasa Apso). I work as a Data Analyst/Financial Analyst for a Metals Co. located in Seattle, WA. I have been in my current position for 5 years. I work in SQL, R, R Shiny, QGIS, and Python. Because I have traveled the roads you are on I will prove to be an asset. I will add value to your programming repertoire and speed up your learning by steering you away from the potholes that so often plague the new to intermediate programmer/analyst. My projects are personable and fun. I will walk you through multiple examples and use cases. We will also get to know each other through the process. Take a Project and see for yourself the power of Coursera coupled with the Rhyme Interface.

Specification: Project: Data Analysis in R with dplyr

Duration 4 hours
Year 2019
Level Beginner
Certificate Yes
Quizzes Yes

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    Divvya.T

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

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