(76 avaliações)
(48 avaliações)
SJ
9 de set de 2017
This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.
MD
27 de ago de 2016
Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.
Great Job!
por 王俊杰
•31 de out de 2017
一个快速的入门介绍
por Naveen R M K
•10 de nov de 2015
Good One.
por Efraime C
•29 de set de 2018
I
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por Sinan V
•22 de fev de 2022
Thanks
por David C
•6 de mai de 2020
Great!
por 陈逸凡
•27 de out de 2017
内容深度不足
por Mark G
•27 de set de 2016
Great\
por Aniket M
•19 de jun de 2020
Great
por Pappu T 1
•23 de mai de 2020
Great
por Ayan S
•5 de jan de 2022
Good
por Himadri N B
•2 de ago de 2020
Well
por Rohan J
•26 de jun de 2020
cool
por Swarnava G
•23 de ago de 2017
Nice
por Yakshdeep D
•15 de abr de 2020
V
por AHMET E
•28 de nov de 2017
t
por Naren
•2 de mar de 2017
v
por Jatin P
•19 de out de 2015
G
por ram s
•19 de mar de 2016
I want to give 3.5 stars but there is only option for 3 or 4.
Given that it's geared more towards wanna be managers in this field. I would have expected lot of case studies, and links to additional material for individual reading plus a mini write up or a project at the end.
For MOOCs to compete with a degree program or an onsite instruction few of the things I think that are needed are
Interviews with industry practitioners which is a big plus.
interviews/postings from people with similar background as the 90% of the MOOC students of this program who made it... this motivates the students from dropping from the middle of the course/specilization programs
links to additional articles that the students can read at leisure
writeup/project as assignments that the students can pursue and publish (not necessarily for grade but as a mind jogger)
One more thing that I think should help (not specific to this course) is that the student with the best grade should be offered one free course and think this will motivate the students to complete the courses.
por Nate A
•5 de jan de 2016
I wanted to like this course but It felt entirely too academic in terms of both the subject matter and the way the specifics of "data science" are presented. The course content reminded me of my time a few years ago when I was enrolled in a Ph.D. program at a major Tier 1 research university. The professors were great, but the content was esoteric and incredibly focused on research based "data science" and less on business analytics or more practical applications of data science for the working professional. I felt myself re-watching the videos to try and understand the content because there were many instances where the professors' spoke about some fundamental aspect of data science but failed to provide some real world context. I liked the course but I would not recommend it as a crash course for the working professional, more like a crash course for someone who already has a degree in statistics/math/engineering who is looking to further their studies in an academic setting where research is the main goal.
por Keiko B
•31 de mar de 2018
I felt the explanation were in between data science for beginners and someone who already had taken a statistics course. I feel that it was important at the beginning to give more real life examples of the usage of data that were compelling. And then take those real life examples and break it down for us using a single inspired project. That would have helped me better understand some of the principles that seemed a bit abstract for me.
por Prasun B
•19 de ago de 2020
I liked mostly Mr. Jeff Leek and Mr. Roger D. Peng's clear and well-composed presentations. But I am disappointed with the certificate format because there is a big note at the bottom which was printed not once but twice and therefore some part of went out of border. After all the hard-works to get such a certificate doesn't feel good at all. Same experience with the "Psychological First Aid" course certificate.
por Puranjay M
•23 de jul de 2017
I think the course structure could be improved to give a better balance between the reading materials and spoken content. Though I understand it is a crash course better correlation between real life examples could help augment the course. For the amount of time spent the course does give a quick overview, but if you are looking for more business specific knowledge you will have to take additional courses.
por Siddharth M
•26 de fev de 2017
The first week gave me a good insight into the data science process. I now understand the situations in which Data Science can best be applied. However, I still do not fully understand the statistics aspect. It would help me if the instructors would provide examples in detail of supervised vs unsupervised learning. I seem to understand the theory behind it but I am not sure how valuable it will be for me.
por Shyam S
•11 de fev de 2019
I personally found it difficult to understand some of the language used, which I think could be simplified better. I personally learn better, when I'm not being overloaded with loads of facts & info, however I did like that we could do some reading at our own pace, then get shown a video. I like the videos, and the quizzes.
por Santiago S
•27 de set de 2017
Good starting point, maybe too short. Hope next courses on the specialization become more extense in content. I've always have issues to follow Peng's line of thinking, it's like kinda in some way he is doing some sort of improvisation or so, I love his books, but his lectures are very hard to follow, even the short ones.