Sep 10, 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.
Jan 02, 2018
It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,
автор: Brian N•
Jan 09, 2017
A good introduction to data science.
автор: Thomas N•
Jan 03, 2017
needed more depth
автор: Peter P•
Mar 19, 2016
Great course for somebody who does not know anything about data science. When doing this specialisation there should be credit for those that did the other data science specialisation
автор: Sergio A M•
Sep 01, 2017
автор: REKIL P•
Feb 14, 2018
Good for ABSOLUTE beginners
автор: Pablo T•
Dec 25, 2017
ok introduction if you have no background in DS.
if you have experience, take the quizes first, its pretty basic.
автор: Siddharth M•
Feb 26, 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.
автор: Marcellus A•
Nov 01, 2016
Good introductory course but a bit too superficial.
автор: ram s•
Mar 20, 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.
автор: Deepak R•
Jan 01, 2017
Good overview... but expected more content..
автор: Sam B•
Jun 18, 2017
Interesting course but structure was a bit odd I thought, it was not clear why so much time was devoted at the outset to the difference between Machine Learning and data science.
автор: Angel S•
Jan 11, 2016
автор: Kristen G•
Jun 15, 2017
presenters were a little hard to follow. but good content
автор: Michael G•
Jun 13, 2018
Some topics are too high-level. But a great team delivering the content (as always)!
автор: Evgeny K•
Sep 25, 2016
This course leaves you frustrated, as valuable information is only ad the end and at the beginning. It doesn't really answer questions of what are data science, big data, machine learning, how they interact and how to use them.
автор: Santiago J S•
Sep 27, 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.
автор: Andrew P•
Feb 10, 2016
Solid introduction. Not so engaging if using the non-paid options
автор: Wei C•
Oct 02, 2015
It provides a quich shot on data science, but the way it presents is not so interesting.
автор: Richard B•
Jul 02, 2017
it was a little lighter than I expected
автор: Edward W•
Sep 27, 2015
A good introductory overview of data science. Grounds you on what you can & cannot do with data science. I find defining the question really impactful. Teachers were enthusiastic and the brevity of the course gives it good appeal for beginners who want to "get their feet wet".
автор: Elizabeth R•
Jan 27, 2016
Good, simple, straightforward, and applied. It starts to introduce you to the language and platforms of data science, but it is most definitely not a standalone course if you want to be conversant in the field. Really just a "taster" to get you into the specialization.
автор: Camilo C•
Oct 10, 2016
Very basic course!
автор: Karthik S N•
Apr 24, 2016
Really basic course. Not needed for people you have already done data science specialization in coursera
Sep 27, 2016
автор: Sarge S•
Feb 11, 2017
Brian Caffo's lectures were rambling and confusing, with excessive use of jargon without proper explanation. His graphs were overwhelming with information, and little effort was made to explain the graph. Otherwise, the other lectures were very good, concise, and clear. Thank you.