16 nov. 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
30 oct. 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.
par Pengtao L•
22 avr. 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.
par Klaus v K•
18 sept. 2017
An in depth deep dive into the mathematical concepts needed to be understood for data analysis tools and techniques. An all round good introduction into the field of data analytics.
par Luca s•
14 mars 2018
I didn't rate 5 stars because I thinck there a are a few steps Prof. need really to enter more in details giving the solution to the diffent test but I really enjoied the course
par Pravesh S•
8 mai 2020
Quite comprehensive on the usage of concepts taught in the course. However, bit of diversion seems to come in assignments and quizzes. Overall, very challenging and fulfilling.
par Ervandio I A•
1 nov. 2020
The concept is well explained, but the explanation about how to apply the concept to the case study is confusing, even though I know the basic knowledge about statistics.
par RENJITH M•
10 nov. 2019
Course is good for those who are looking to get skills in business analysis through excel. The final project does not have a proper reviewer or is not evaluated properly.
par Di Z•
19 juin 2020
I really think the course should provide an example for the final project after submission because it was so confusing and none of my reviews has a good model. Thanks.
par Shalakha P•
15 mars 2016
Very interactive and simple to learn course.
the video lectures are very clear to understand and worksheets are helpful to gain a better understanding of the topic.
par ISHIR C•
14 mai 2020
Loved the course. Concepts have been explained in detail with interesting examples. Please try and include a more detailed explanation of linear regression.
par Bonga L•
19 avr. 2016
So far i have found it useful. Most of the introduction elements are elementary but it gives you a chance to build up your knowledge and apply it as you go.
11 janv. 2021
Very Good. At times too complicated questions for the explanations provided. Requires extra material outside the classroom not suggested and not vetted.
6 nov. 2016
I feel this is way too hard for people who are not good at math, or haven't studies math for a long time. Took me longer time to figure all questions out.
par Rubén M F•
15 févr. 2016
I missed some more content in certain areas of the course (i.e. histograms). Apart from that, great course and great explanations by Daniel Egger!
par John S•
11 avr. 2017
Very useful knowledge in this course. Although, some of the quizzes require some small fixes, and there are minor mistakes in some lectures.
par Pham T G•
13 nov. 2015
Overall, the course is great except for some minor inconvenience of the lecture. Some concepts are not carefully explain like incidence etc
par Nelly R•
21 nov. 2015
This course is very good! The inconvenient is the lack of exercices, however, the explanation are clear and relevant; we go to the basics.
par Anil K N•
3 juin 2019
The course overall is fantastic but I feel that they should teach more through the excel spreadsheets than by using MS paint application.
par Jesús P R•
20 nov. 2017
Very good course. It requires concentration, time and dedication but it is really satisfying after you learn and apply all the content.
par Chen C P•
30 avr. 2017
Good for learning statistical analysis using real examples (bank credit card application) and hands on the data in the final project!
par John K•
10 janv. 2022
Good course but quite difficult to follow along with all the detail. The templates given for the calculations were excellent!
par Carlos V•
7 févr. 2016
Really good course, I think the most value is at the end when you are able to apply the concept learned in the final assignment
28 juin 2017
Sometimes it was too complicated. At some moment it seemed to be too deep in statistics. But anyway very good to participate.
par Gerardo J O•
21 nov. 2015
It will be better adding examples related with engineering cases (this is for technical people in any branch of engineering).
par Bharat M•
22 août 2020
Gets too complex at times. Otherwise a solid data analysis course with quite a bit of focus on the statistics part as well.
par Boris D•
29 avr. 2021
nice course but little bit too hard on statistic and mathematics, more on excel will be the best!
thanks for this course