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Voltar para Build Data Analysis tools using R and DPLYR

Comentários e feedback de alunos de Build Data Analysis tools using R and DPLYR da instituição Coursera Project Network

280 classificações
50 avaliações

Sobre o curso

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....

Melhores avaliações

6 de Jan de 2022

This was a good course for me as a refresher. Instructor is easy to understand and outlines in advance what the tasks are. Easily done in just under 1.5 hours.

31 de Mai de 2020

Just one hour and I already feel like I moved mountains! This is a terrific starter project for anyone keen on learning R programming. I highly recommend it!

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26 — 50 de 50 Avaliações para o Build Data Analysis tools using R and DPLYR

por Gangone R

3 de Jul de 2020

very useful course

por Ashwini M

13 de Jun de 2020

Nice for revision

por Alberto Z U

30 de Set de 2020

great course!

por Akash P G

17 de Jul de 2020













por Deepak K

5 de Nov de 2020

Thank You

por Keyla a

20 de Out de 2020


por suganya.n

27 de Jul de 2020


por tale p

28 de Jun de 2020


por Vijayalakshmi J

17 de Mai de 2020



6 de Mai de 2020

The contents of the course were good, but the length of the course could have been longer with more real-world examples and no time limit for the sessions.

por Jayesh K T

3 de Jun de 2020

Very good course. Only the rhyme application created few problem, like remote desktop not starting etc. But the course content is good.

por RITU G

21 de Mai de 2020

It's very short but the concepts were explained amazingly, I look forward for doing more projects with this mentor.

por Rakesh K S

24 de Mai de 2020

Gives you substantial knowledge about dplyr package and its verb and after project you will feel to explore more

por Ayberk K

13 de Mai de 2020

There could be tasks like homework or project to practice more. Quizes are not enough to make learning deeper.


1 de Jul de 2020

Course is very nice and crisp. Only problem was the Rhyme server used for practice. Faced lots of issues.

por Divvya.T

29 de Nov de 2019

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

por Sebastián C J

25 de Jan de 2021

Is necesarry funcition for calculate frecuency and percentages.

por Devesh K S

11 de Jun de 2020

its nice that coursera giving free opportunities. Thank you

por Gaurav R

7 de Jun de 2020

hands on practice with this kind of projects !!

por Samuel I

8 de Jun de 2020

Interactive and hands-on using Rhyme

por Poorna B G

13 de Jul de 2020


por Jean-Philippe M

22 de Nov de 2020

Nice intro, wished there was more complex examples

por Sayan S

20 de Jun de 2020

too easy

por Ana F

18 de Nov de 2020

The platform for this course is really cumbersome and distracting. Unnecessary. I decided to learn these skills elsewhere

por Sundaresan

14 de Abr de 2020

Very basic, very short. Near zero learning outcome.