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.
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 Sally L•
I did not know how to use R or R studio neither did I know what they entailed. With this course, I am now more aware. Being a solution provider. It is definitely a course you should check out to be conversant with the data scientist's tools especially R that is popular.
by Tony D C•
This course is perfect to get an introduction to R and RStudio and the Github. It's easy to follow and pretty fast to complete. Probably the best thing you take home from this is to have a nice setup for the following courses where you can use the tools presented here.
by MHE v A•
Very good, basic level course. Only one minor issue when working on the markup section, make sure to install TeX before you start, or R will not be able to generate a pdf. Not a major thing, but something that did frustrate me for 15 minutes while I got it all set up.
by Bernardo M F d S•
Although I understand that Data Science involves a lot of self-oriented research, more resources and recommendations for learning git basics would be appreciated. Perhaps some practical exercises before the final assignment would've ensured a better learning process.
by Rok B•
It is a good start to data science, you don't need a background in programming. The course is aimed at 1) helping you set up R, RStudio,git and conect it to GitHub and understand it's basic functionality and 2) getting a basic understanding of what data science is.
by Vamshi K P•
The course covered most of the necessary tools in the Data Science industry. The content is clear and very easy to retrace the steps. Git version control required a deeper explanation of undoing a commit, branching and merging. The rest of the content is flawless.
by REDROUTHU B S - C•
The track consists of 9 courses that each last about 4 weeks which are released in batches of 3 courses each month. This course introduces the very basics of R and R studio, Git and Github and a few otherthings that will be used in the data science specialization.
by Brandon T•
A little daunting at first but the instruction is simple and the ability to search video transcripts for tidbits basically saves me the step of taking notes. Some of the navigation was difficult in the forum, but I ended up figuring it out and posting something.
by Marcio R•
Very helpful and important introduction to the world of Data Science. I do feel an overall lack of more examples and/or small optional projects/exercises to help learn, though. Maybe something like a list of exercises could be given at the end of each Module?
by Abdul-Mateen Q•
This course gave me a thorough introduction to the use of the tools in preparation for being a data scientist. I also had a good grasp of what task a data scientist faces on job. R, RStudio, Git and GitHub are nomore nightmare for me having taken this course.
by José D•
it implies statistical concepts that, I understand because I have studied them deeply in my college, but for someone who has few or no knowledge about the subject, it can be very complicated. still its very complete and I learnt a lot about R studio program.
by Benjamin S•
Good starter content, data science background and overview of tools. Could provide more lecture time on the tools (RStudio, Git/Bash). The course is labeled for beginners, but I can see where someone without much experience could really get intimidated by
by Ron C•
The course provided a good overview of Data Science and the various tools used to perform the work. Those without an IT background may find it challenging to install and configure some of the required tools. But you can find plenty of tutorials on YouTube.
by Vinayak N•
Well structured and nicely organized. Content is great and lays the ground rules for start of statistics using R.
Minus one start only because there's no instructor teaching the course. I would've preferred a real human voice rather than an automated voice.
by Vishnu K•
The videos might not seem a lot at first view, but they contain links to some of the most useful material out there. The mentors on discussion boards are immensely helpful as well. For the uninitiated in data sciences, this is a great module to begin with.
by Steve S•
Good pace for the first course. A little more guidance on Git command flow would be help. However, the available Help documentation on Github did the trick. The problem was having to work primarily in the command line which provides limited feedback.
by Francesco B•
Well done, but very basic. Only do it if you are really completely new to the subject.
The audio part is entirely done using automatic text reading. Very well done compared to other similar tools, but still the experience is not the same as with a human
by Natalia S•
Videos are already sort of "old". Having Macbook i had significant problems with pushing files to GitHub repo, nevertheless I was doing everything said in the videos.
I could do that after using some other functions that were not mentioned in the video.
by leo n•
It was straight forward. However, there were some difficulties installing RStudio using the latest version. I had to go the previous one .e.g. Latest was 3.5 I used 3.4 matching RTools. Other than that very straight fwd, including Github (basic) usage
by SRI V K•
I am not too thrilled about Polly delivering the lectures but I understand why they have to do it this way.. Still explained all the concepts clearly and I am confident that I will get through the entire specialization after going through this course.
by Scott D•
A good course with clear instruction that gives you a basic review of using data and installing R and related programs. Occasionally necessary steps in R are omitted and one has to do some googling. Not a fatal flaw, but frustrating for a beginner.
by Roberto R•
It felt a bit like a RPG tutorial where your big accomplishment is learning how to run or crouch, but I guess it makes sense for it to be part of the Specialization track. I would recommend it as part of a series, more than as a standalone course.
by Carolyn A•
Great introduction to the different tools that a data scientist will encounter and use, including RStudio, Git, and GitHub. I would have appreciated more practical experience linking Git and GitHub, as that is critical for version control of code.
by RICARDO F F D L J•
I liked the course. I think that at times it is not clear and at others it is wordy. I gave 4 stars mainly because the course menu promises subtitles in Portuguese and in more than 60% of the videos there are only subtitles in Korean and English.
by Samuel M A•
I had some issues in following all the steps that are shown in the lessons. I think the demos skip important steps. But, on the other hand, it forces to search and look for solutions to these issues on the web. Overall: good introductory course!