Apr 15, 2020
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
Sep 08, 2017
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
By Alexandre B S•
Feb 12, 2020
This course should not be the first module of the specialization. Also, it lacks exercises and the content's explanation is not that deep and interactive, making the first course of the specialization boring and not caught student attention.
Mar 27, 2020
I definitely did not like the robot voice even though the course mentioned that it could be annoying. I wish there was more instruction involved, especially for beginners like myself. It was still confusing to complete some of the tasks.
By Michael S•
Oct 04, 2020
Very disappointed in the quality of the videos. The voice-over is computer generated and takes too much focus. Luckily you can choose just to read it yourself. But this is not what I was expecting from Johns Hopkins and Coursera.
By Daryl A•
Aug 17, 2020
The course needs to spend more time on how to init and push an item from RStudio to Git. I ended up having to watch a youtube video on how to do it. And all the comments show that this course did not prepare students how to do it.
By Mehmet M A•
Sep 19, 2020
The robot voice is a bother. If it is something experimental, the course should be free: students are human beings, not guinea pigs. There are better books and tutorials for installing and exploring the software.
By Tarunoday S•
May 06, 2017
This module should not be kept as a separate piece...The steps mentioned in the lectures does not properly cover what is asked in the assignments.The lecture content needs to improve to cover the assignment
By Marie J•
Feb 26, 2019
I found this informative but you do not get much in terms of service. One of the quiz has a technical issue and I made a complaint weeks ago, but I still haven't gotten a response. Nor has it been fixed.
By Alessandro V•
Oct 22, 2016
It is too easy as a "university" course. It is much more like a pratictioner course. The final exam is ridiculous, really too easy.
It can be thought as a week course instead of a four week course.
By Eric L C•
Jan 28, 2019
Presentation great. Quizzes are idiotic. You take the quiz, it tells you that you got an answer wrong but does not tell you why most of the time -- so no chance to learn from your mistakes.
By Matt G•
Feb 06, 2016
Very little information for the cost. I was done with the whole course in a few hours. The review in the next course covered most of the same things. It certainly wasn't worth the price.
By David C J•
Sep 26, 2016
This was really basic information. It's not really a 4 week course. It takes several hours. The info is necessary, but it's sufficient as a single week of content for a larger course.
By Katherine C•
Jul 06, 2020
The robot voice makes it extremely difficult to fully understand the information presented. I found myself having to listen more than once to ensure I did not miss any information.
By Brendan L•
Mar 28, 2017
Very basic course, I was able to complete the 4 weeks on content in a weekend. I would recommend skipping this module and moving directly to the R Programming course.
By Allan P•
Jul 26, 2016
Very basic even for people with no DS background.
Issues with quiz having passed and results showing as failed. Inability to speed up and move on to next module
By F B•
Mar 22, 2020
I didn't like how I couldn't do some of the tasks because some steps were missing from videos and texts and there is no help in the course except the forum
By Javier R L G•
Aug 06, 2018
Too slow!! Why waiting for others to finalize and rate, enter enough dummy exercises so that the student can complete the course much sooner. Thanks.
By Francisco B P•
Apr 10, 2018
Very superficial knowledge. More pratical exercises are needed and daily problem examples. The use of github and his pratical purpose is not clear.
By Karan B•
Oct 09, 2017
Very average do not feel I learnt much. Still not sure if it's over or not since i've submitted a peer review assignment and cannot go any further.
By Karsten T•
Feb 15, 2016
This could probably be compressed into a single week of setup for the R Programming course. There isn't much in terms of substantive learning here.
By OMEED R•
Dec 30, 2016
I mean, it's replicated in the next classes, and it has silly questions in the practice quizzes. It's not worth it. Just kill this.
By Augusto U•
Feb 18, 2016
Very basic introduction to Data Science. Seasoned programmer or other IT professionals are likely to find this course really weak.
By Luis C•
Mar 24, 2019
it is a good course but need to show more examples of R. the course should show more empirice examples of the functions of R.
By Harshini S•
Nov 22, 2016
A good intro to the tools required for a Data Scientist. However, could cover the usage of the terminal and Rstudio better.
By Yuan L•
Nov 12, 2017
Not that useful. There is no need for videos. The content can simply be presented in one single PDF in a time-saving way.
By Dimitry W•
Dec 05, 2017
Somewhat interesting to get an idea of what can be done with Git / Github, but I don't feel prepared to actually use it.