Learner Reviews & Feedback for Data Analytics: Scraping Data using Hadley Wickam's Rvest package in R by Coursera Project Network
About the Course
Top reviews
Thank you so much for this project. It was really helpful. The style of teaching is 10/10.\n\nLooking forward to the next session.
Very useful and easy to understand project.Thank you
1 - 12 of 12 Reviews for Data Analytics: Scraping Data using Hadley Wickam's Rvest package in R
By Vikash P
•Thank you so much for this project. It was really helpful. The style of teaching is 10/10.
Looking forward to the next session.
By Phuong A V
•Very useful and easy to understand project.Thank you
By Abdullah B H
•Everything was great....new experience!
By Cherry I T
•you must learn
By Raisa N E
•good!
By p s
•Good
By tale p
•good
By Max
•"practice looking at data distribution using R and ggplot2,
Apply a Random Forest model to the data using the FFTrees package in R, and examine the results using a Confusion Matrix."
Where is that in the course? I just saw an overview and some practice with Rvest package, but beyond that there was no RF, ggplot2 nor confusion matrix.
By Mayank A
•It was a very quick overview of how to scrape the data. The instructor could have saved an R script on the desktop for learner's quick access.
By Alexander C
•This project is not maintained and your workspace no longer functions in the same way as the instructor's screen as of the third video. An error comes up that you will need to work around by either using the technique from the previous video (and therefore, missing the point of the new material) or you will need to spend some time googling about the html_table function of the Rvest library which, in my opinion, defeats the purpose of taking this short course. Many have asked for help in the forum about this issue, and there is no official reply.
By mark h
•I thought this course will teach more but, I'm totally frustrated. He just showed some back scraping not even scheduling the script. Not recommended at all you should rather see a youtube video.
And the course overview was totally false claim.
By Paolo O
•I found it a loss of time and bit frustrating. What it takes 2 hours here (and more to figure out what's not working if you run on a different R version) it can be better achieved with a few minutes of good reading. No concepts explained!
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