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.
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.
by Angie M•
May 24, 2020
Seems like the lessons are using an older version of R. BioConductor repo packages instructions need updating. Otherwise, this course gives a good intro to Data Science and how to use RStudio with GitHub.
by Vivian G•
May 12, 2020
This course gives you a nice overview of the very first steps in dealing with your data. It explains very well how to use GitHub and RStudio.
The mini-quizzes (3 questions) are a bit useless in my opinion.
by Pranali S L•
Jul 22, 2020
Course was Excellent . I have learnt many things from this course which will be very helpful in future .My suggestions will be -framing of questions should be more exact.,so learner will not be confuse.
by Luis C M•
Nov 17, 2016
El curso tiene toda la orientación a ser la primera parte de toda la hoja de ruta de la especialización de data science... En solitario no aportará prácticamente nada pero como punto de inicio, promete.
by Wenting T•
Mar 23, 2016
The course is in fact an overall intro to the full data science specialization. Some of the content are useful; but some of the quiz questions are not very informative, and don't really test on stats...
by Rose E•
Apr 15, 2020
It would be nice to have the R Studio and GitHub training with more guidance and proper syntax and coding for both and I would prefer it after the R programming course. Otherwise, good content overall.
by Marcus F•
Apr 13, 2020
Yeah, the robot voice is annoying. There needs to be better instruction on getting R Markdown to work. I tried in vain and gave up on it after looking at multiple forums with my same issue. Oh well.
by MADHUSUDAN S T•
Apr 12, 2020
It's a beginning to a host of different courses that are to be followed after this. It makes up a for a good platform to start off the work on R and how to use version control feature of R via GitHub.
by Sumeeth R•
Mar 15, 2017
It would be better if we can attempt the assignments even if we are not enrolled to the course. It would really help us to evaluate ourselves about the extent to which we have understood the concepts.
by Chris C•
Jun 11, 2016
A good basic class and collection of the tools. I wish there had been a little more explanation of what we would use the software for, but I found the lecture parts to be both concise and informative.
by Matt W•
Sep 11, 2019
Very clear and concise and is very easy to follow for those who aren't very experienced with setting up a dev environment or git. A little on the easy side but I'm sure more challenges are to follow!
by Guillem P O•
Jul 26, 2016
Consistent yet very basic course. I would only recommend this course if you are willing to complete the whole Data Science specialization or if you have troubles with the basic functioning of GitHub.
by Alexandros-Charalampos K•
Jul 14, 2016
It's a very introductory course and in a sense I don't feel like I learnt something useful, except the part that shows how to install all the tools that are needed for the rest of the Specialization.
by Umar F A K•
Jun 23, 2020
This course is very educative and easy to follow by anyone regardless of their previous knowledge in Data Science. I recommend this course to anyone who want to learn r programming and data science.
by Carlos C B J•
Feb 15, 2018
It is possible to learn how to set-up your computer to use R and Rstudio. It gives an overview about Git and Github. The only deficiency ,in my opinion, is the lack of linux explanation in set-ups.
by Navid S•
Aug 24, 2019
It would be helpful for absolute beginners who even have difficulty in installing programs like R and GitHub but otherwise it felt a bit too basic although informative with some of the Git commands
by Tom J•
Aug 17, 2019
Most of the instructions were very clear. Image quality for pushing files to Github via command lines was poor, so it was difficult to follow along. Not sure why there were 2 Git bash counsels open
by Emanuele M•
Feb 11, 2016
it's well done, i was expecting more details in the lessons while students it's requested to search many things on internet in order to learn, for instance GitBash. However it's a good first course
by Richard B•
Oct 08, 2018
Having to skip through all the Mac videos is annoying. Just make an option at the beginning if you're working on mac or pc or both so i don't have to deal with skipping some videos and not others.
by Joshua R•
Feb 26, 2018
This course seemed a little to basic. I know it gets much harder going forward (as I've already started on the next course), but I feel like more knowledge could have been packed into this course.
by Stephanie C•
Sep 22, 2017
Some of the course material seems a little out of order, and some things I went externally to figure out, but overall I think that it is a great class for someone looking to get into data science.
by Shubham T•
Jul 02, 2020
Great course to know these tools. Need more explanation with the videos and more interactive assignments to understand better. Also, language change is one thing that needs to acquire eventually.
by Matt R•
Feb 10, 2018
Additional exercises on setup and use of git would have been helpful, particularly with the local and remote synchronization. You may want to phone-a-friend on git if you need to use it daily...
Sep 26, 2016
Well basically tutors only providing slides, speech, forums and ebook in this course...rest is self-learning, self-understanding, self-asking... if not, then you'll not pass this course i think..
by Koduru K C•
May 02, 2016
The course covered the foundations well especially how and what softwares to install etc. I would have given five stars if the course contains covered some extra details about R and datascience.