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.
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.
автор: Sandhya S•
I felt something in detail was required for GitHub and RStudio. There were repetitive questions asked. Those can be removed and only one question should be asked with repeating it in any of the questionnaire.
автор: Benjamin M•
Simple and easy, but also essential information. This was a great course for beginners using R, R Studio, Git, GitHub, and for anyone who wants an introduction to data science, programming, and data analysis.
автор: Saloni R•
This course gave me a great headstart to step into the field of data science with more confidence. The lectures are very well created, scripted, and delivered using the Amazon Poly.
Overall a great experience.
автор: John S•
Very good pace, sequencing, and mix of lecture and practice. Only suggestion is a bit more time on the "Add", "Commit", which appears to be a very core element of file handling/version management with GitHub.
автор: Jiapeng S•
I used 7 days free trail first and then purchased it, then I found almost all the videos and works in free trail version are different from purchased version, can't understand why the institution did that.
автор: Baurjan S•
The first week's quiz is really difficult and I had to go through the lecture material several times. Because of the great number of very short lectures it is difficult to find an asnwer to sought question.
автор: Julian M D C•
The content in the course is very helpful as an introduction to Data Science. There is no enough material to 4-week study. I finished the course in 3 days at a regular pace. Robotic voice is a bit annoying
автор: Tales T P•
There were lectures about how to install R and RStudio on Mac and Windows. And the quiz asked about information on these lectures. You must pay attention to them even if you have previously installed them.
автор: Angie M•
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.
автор: Vivian G•
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.
автор: Pranali S L•
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.
автор: Luis C•
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.
автор: Wenting T•
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...
автор: Rose E•
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.
автор: Marcus F•
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.
автор: MADHUSUDAN S T•
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.
автор: Sumeeth R•
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.
автор: Chris C•
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.
автор: Matt W•
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!
автор: Guillem P O•
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.
автор: Alexandros-Charalampos K•
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.
автор: Umar F A K•
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.
автор: Carlos C B J•
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.
автор: Navid S•
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
автор: Tom J•
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