Chevron Left
Вернуться к Build Data Analysis tools using R and DPLYR

Отзывы учащихся о курсе Build Data Analysis tools using R and DPLYR от партнера Coursera Project Network

Оценки: 280
Рецензии: 50

О курсе

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....

Лучшие рецензии

6 янв. 2022 г.

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 мая 2020 г.

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!

Фильтр по:

26–50 из 50 отзывов о курсе Build Data Analysis tools using R and DPLYR

автор: Gangone R

3 июля 2020 г.

very useful course

автор: Ashwini M

13 июня 2020 г.

Nice for revision

автор: Alberto Z U

30 сент. 2020 г.

great course!

автор: Akash P G

17 июля 2020 г.













автор: Deepak K

5 нояб. 2020 г.

Thank You

автор: Keyla a

20 окт. 2020 г.


автор: suganya.n

27 июля 2020 г.


автор: tale p

28 июня 2020 г.


автор: Vijayalakshmi J

17 мая 2020 г.


автор: NISCHAL S

6 мая 2020 г.

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.

автор: Jayesh K T

3 июня 2020 г.

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

автор: RITU G

21 мая 2020 г.

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

автор: Rakesh K S

24 мая 2020 г.

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

автор: Ayberk K

13 мая 2020 г.

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

автор: RAJAT P S

1 июля 2020 г.

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

автор: Divvya.T

29 нояб. 2019 г.

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

автор: Sebastián C J

25 янв. 2021 г.

Is necesarry funcition for calculate frecuency and percentages.

автор: Devesh K S

11 июня 2020 г.

its nice that coursera giving free opportunities. Thank you

автор: Gaurav R

7 июня 2020 г.

hands on practice with this kind of projects !!

автор: Samuel I

8 июня 2020 г.

Interactive and hands-on using Rhyme

автор: Poorna B G

13 июля 2020 г.


автор: Jean-Philippe M

22 нояб. 2020 г.

Nice intro, wished there was more complex examples

автор: Sayan S

20 июня 2020 г.

too easy

автор: Ana F

18 нояб. 2020 г.

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

автор: Sundaresan

14 апр. 2020 г.

Very basic, very short. Near zero learning outcome.