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

4.5
звезд
Оценки: 279
Рецензии: 49

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

MF
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!

SN
4 дек. 2020 г.

As a beginner, I really enjoyed and learnt a lot the fundamental aspects of data analysis tools using R and DPLYR.

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1–25 из 49 отзывов о курсе Build Data Analysis tools using R and DPLYR

автор: Ali M H

17 апр. 2020 г.

What I see in this project was amazing especially when he talks about data frame and he did apply as practical his teach very smoother and he did well for explanation.

So, my question here, how would i like to apply the frame data or otherwise how i make full data and apply in this R and make such as for company to collect such as stuff and arrange it nicely.

I hope get contact to know more i am so exited to wait some guide me more a bit.

May God bless you and thanks you very much for this course.

автор: Kevin B

20 авг. 2021 г.

After trying other guided projects on Coursera in similar subject matter, this one is a breath of fresh air! If you are new to programming languages (like I am) this one checks all the good boxes. It gives you a good amount of information to digest in one sitting and moves along at a pace that's just right. I look forward to the opportunity to take other courses from Chris Shockley as the instructor.

автор: Maliha T F

1 июня 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!

автор: Shobod D N

5 дек. 2020 г.

As a beginner, I really enjoyed and learnt a lot the fundamental aspects of data analysis tools using R and DPLYR.

автор: Anderson d O

13 июля 2020 г.

Very nice course! I recommend it to anyone who wants to take their first steps in the softwre r

автор: Chintoo K

18 июля 2020 г.

This project is a good start in R for beginner. Good explanation by the instructor :)

автор: Marcos V R d S

3 авг. 2020 г.

Short but much needed and will help a lot who works with data science.

автор: SIMRAN M 1

10 мая 2020 г.

I really enjoyed this course. Looking forward to more such sessions.

автор: VICTOR D S S

25 мая 2020 г.

Quick and practical introduction to working with data in R, 10/10.

автор: Rifai N W

5 окт. 2020 г.

Great course for a beginner like me! Keep up the good work!

автор: Mangesh J

23 июня 2020 г.

very helpful course to learn basic tools for data analysis

автор: JULIO C E L

24 июля 2020 г.

I really like the format and the simplicity of the course

автор: Dhaval B

6 мая 2020 г.

Easy to understand. Good practice for first timers

автор: NOSHIN I A

7 июля 2020 г.

nice experience i want to learn more from you .

автор: Medha M

7 мая 2020 г.

It is a great learning course for a beginner.

автор: Jayesh M B

24 апр. 2020 г.

nicely structured for beginner.

i liked it.

автор: Nuka-Nwikpasi N

11 июля 2020 г.

Very explanatory and well taught.

автор: Kangjing S

30 мая 2020 г.

Really mindful and easy to learn!

автор: Zacharia W N

16 июня 2020 г.

Well summarized and articulated.

автор: Fabián E V S

9 июля 2020 г.

A good introduction to dplyr.

автор: Medha B

28 сент. 2020 г.

Nice course for beginners.

автор: KALPANA

18 мая 2020 г.

Useful for Data analysis

автор: Rasin R S

8 мая 2020 г.

Simple and informative

автор: Gangone R

3 июля 2020 г.

very useful course