Nov 16, 2021
I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University
Oct 30, 2015
The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.
By Syed M R A•
Jan 31, 2018
Great clarification of concepts regarding "classification algorithm" and its application in various industries. Final project is awesome but very practical and needs more clarity in videos and notes. Overall, very challenging and informative.
By Andrew K•
Nov 18, 2019
Enjoyed the course overall. It's been a few weeks now, but I recall getting the sense that it needed a careful overhaul on quizzes. Some of the frustrations were mentioned in discussion groups that don't seem that well trafficked any more.
By Jose V•
Jan 29, 2017
The course is very challenging, but very interesting. I will probably suggest a bit more of staff support in the last week, specially the final project which is very challenging and demanding. A bit more of orientation will be really good.
By Mallikarjun B•
Sep 11, 2016
The explainations are a bit hard to follow if you are in a hurry, some times the course concepts just jump onto you. The techniques and content are really really great and very relavent, but the instructional value can be further ehnanced.
By Jiten P•
Feb 10, 2020
Very detailed course introducing us to the foundations and concepts leading to analytics. However, I think the course could have been simplified, as it takes strong understanding of probability and related concepts as prerequisites.
By Evgeniy M•
Nov 7, 2017
This course is about modeling but not Excel features.
I really enjoyed the course, but I had other expectations before starting working with this course.
I think, the title of the coure should be changed to minimize miscommunication.
By D. C•
Jul 30, 2017
(Final Grade 91.4%). You will need to dedicate a time discuss course material with fellow learners, mentors, and instructors.
Update 07/29/2017 , I review the material , and they do a lot of corrections to the explanations ,
By abbas k•
Oct 18, 2018
This course although well taught was too difficult as it required understanding of higher level statistical concepts. That said I enjoyed the course and learned a lot for the instructor and the discussion groups. Thank you
By Mohammed T C•
May 29, 2020
The course come up with lots of learning but there is a lack of use of Excel. The instructor showed everything with manual calculation instead of Excel formula. The course would be great if everything integrate with excel.
By Joe G•
Oct 19, 2017
Excellent starting point for data analysis, while prior knowledge of statistics and excel are not necessary, they do help with course comprehension. Would like to see future courses expand upon what was taught here.
By Joshua A•
Jul 30, 2019
Great course and great professor, overall! The course was challenging at some points, especially when it came to the final project, but I really feel as though i learned some valuable skills from taking the course.
By Vitalija K•
Feb 17, 2016
I really enjoyed the course. Professor was very good at explaining everything. And the team was very helpful. And this course is definitely for people who already has a good backround in exel and working with data.
By Wenqi Z•
Jan 4, 2016
This is more than just an Excel course. It also covers a lot of statistics and the application of statistics in Excel (with pre-built template). I think more focus on how to build things in Excel will be useful.
By Irina T•
May 30, 2017
Very interesting course, but I think too much information for such short period of time. For me was difficult to understand und combine all given methods. More practical business cases would help here as well.
By Keith P D C•
Dec 3, 2015
Most concepts are rather theoretical and it feels more like a probability and stats course. There is not much focus on excel implementation and life is made seemingly easy with all the templates provided.
By Peilin T•
Jun 21, 2020
The course is actually teaching you lots of stuff on statistics and probability but not on Excel. Also, the course needs better organization, many of the hints and resources are obsolete and need update.
By Mike B•
Mar 18, 2016
Difficulty (at least for me) was non-linear. Weeks 1-2 were very basic with weeks 3-4 moving into parts of stats that I don't recall from my college course so it took some extra work to apply the models.
By Tam N•
Apr 2, 2019
I like the course but sometimes the instructions are not clear enough. The learning materials are good. Yet I feel it takes so much time to finish the course because I feel not being instructed clearly.
By Shanta S•
Dec 15, 2016
Tougher than the first in the specialization. You have to spend time on the material to succeed. In the end a lot of the concepts were not that difficult to figure out - don't overthink things as well!
By Matthew C C•
Feb 28, 2016
Highly useful and practical course. it can be a bit challenging for Uni graduate from irrelevant field.
the First course and the visualisation course from this series of specialisation is okay .
By Yehor T•
Oct 31, 2021
The final task in this course was quite a challenge to understand, I highly recommend reading forums for that. But overall - well-explained material with exceptional templates for future use.
By Nicholas A P•
May 12, 2018
It was a great course and I learned a lot. However, I think the final project could have been more spaced out. In general, I felt like I needed more time at the end to review Excel Modeling.
By Magnus K J•
May 2, 2017
More respect after the course than before, as I thought this would be a pretty easy Excel course, but finishing it called lot of real work and statistical and modelling understanding.
By Alejandro G F•
May 28, 2020
Learned a lot, no doubt. But the content could have been a little bit more helpfull regarding the final project, i found it really challenging in some aspects. Anyway, great course!
By Pengtao L•
Apr 22, 2016
quite a lot techniques to learn. Just wish they could explain more about applications of those techniques, in more details, which however might be hard to get done in 5 weeks though.