14 апр. 2020 г.
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.
7 сент. 2017 г.
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.
автор: sérgio C•
16 янв. 2017 г.
Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done!
автор: Deleted A•
29 дек. 2016 г.
Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses :p
автор: PATHIK C•
13 окт. 2016 г.
There is practically nothing in this course to learn. It can be termed as a introduction to the specialization
автор: Andrey T•
6 сент. 2016 г.
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•
25 июля 2016 г.
Very short, easy and introductory course. Gives a nice high altitude overview of the subject but little else.
автор: James M•
24 февр. 2016 г.
Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.
автор: Aneesh B•
26 мая 2020 г.
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•
24 июля 2019 г.
A little more depth on R and R studio and the rest and more data driven projects would have been appreciated
автор: Leyla C•
24 февр. 2020 г.
Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.
автор: Roman K•
10 окт. 2017 г.
The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.
автор: Bill S•
12 апр. 2017 г.
Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.
автор: Shawn O•
28 мая 2016 г.
Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.
автор: Shrestha P•
18 янв. 2020 г.
It was great to know new terms and tools used in data science. However, the course is mostly theoretical.
автор: Jensen K•
7 февр. 2016 г.
Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.
автор: Simin X•
5 мая 2017 г.
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•
28 окт. 2016 г.
Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.
20 дек. 2020 г.
Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.
автор: Abdallh A•
11 дек. 2019 г.
Good course for supporting the rest of the specialization. However, it has very little use on its own.
автор: M S G•
3 февр. 2019 г.
Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash
автор: Karan A•
6 июля 2018 г.
Course is good overall, but it could be more detailed and informative which is lacking at some topics.
автор: Adriana M M V•
29 мар. 2020 г.
Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.
автор: Sourav P•
29 июля 2018 г.
One Could have introduced the basics of R in this course..The course was too easy..Even for beginners
автор: Hernan G•
27 сент. 2017 г.
Es básico, pero cumple para empezar en el mundo de Coursera, espero mucho más del resto del programa.
автор: SOUBHAGYA K•
1 авг. 2020 г.
It's very very basic one.Some more topics should be added to this course.Otherwise it will be boring
автор: Chia D•
11 дек. 2019 г.
The video content is great, but it tends to have zero relation to the content tested in the quizes.