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: Lucas P•
The course accomplished its goal. Nevertheless, since it is a paid course I expected to find more theoretical content
автор: Khoa N•
very helpful but i think it is too short, i need some more concepts to fully understand what these tools used for
автор: Morgan D•
Lots of very general review information, not much new stuff. Did force me to start getting familiar with gitHub.
автор: Aditya K R•
Super basic and boring stuff. Mostly talks about R Studio and GIT. Not of much help to those with IT experience.
автор: Ahmad A•
the voice is too low and the level of instructing are not for beginners, but with a lot of effort you could pass
автор: Rafael T M•
Very introductive. I hoped more about this course. There are interesting stuff but I'd rather more work volume.
автор: sérgio C•
Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done!
автор: Deleted A•
Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses :p
автор: PATHIK C•
There is practically nothing in this course to learn. It can be termed as a introduction to the specialization
автор: Andrey T•
The course is too easy to be called a course. Just an easy intro, which you can complete in a couple of days.
автор: Tamir L•
Very short, easy and introductory course. Gives a nice high altitude overview of the subject but little else.
автор: James M•
Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.
автор: Aneesh B•
It is good for those who are looking what is data science and how to install R and Github and how they work.
автор: Aritra D•
A little more depth on R and R studio and the rest and more data driven projects would have been appreciated
автор: Leyla C•
Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.
автор: Roman K•
The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.
автор: Bill S•
Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.
автор: Shawn O•
Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.
автор: Shrestha P•
It was great to know new terms and tools used in data science. However, the course is mostly theoretical.
автор: Jensen K•
Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.
автор: Simin X•
It's only enter-level for people who don't know R. For those who already used R, it's not a good choice.
автор: JOHN J O G•
Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.
Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.
автор: Abdallh A•
Good course for supporting the rest of the specialization. However, it has very little use on its own.
автор: M S G•
Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash