TB
2021년 11월 16일
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
JE
2015년 10월 30일
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.
교육 기관: Muhammad I
•2020년 1월 25일
Great course. Explains the excel concepts in detail. This course is really practical and employs an approach to solve business problems that is comparable to real life job work. The resources offered are really useful in and out of this course.
교육 기관: Joe L
•2016년 2월 22일
I find it very practical. Not only do the lectures give you general overview of the concepts with examples, but also they teach you how to do the maths which is very important in my opinions. Thank you very much Prof. Egger and the team.
교육 기관: Barbora B
•2018년 2월 6일
Amazing course, I recommend it very much!! It is a just-right challenge - not too easy but not impossible to do either. It's also quite up to everyone how deeply he/she decides to immerse in the subject. Thank you professor Egger!!
교육 기관: Yichen L
•2016년 3월 10일
Fantastic course, a lot of work. You definitely need decent maths and a bit of basic statistics to fully understand the course. The course covers many topics and provide great practice on core application in statistics field.
교육 기관: Sagar
•2020년 9월 16일
Very excellent course structure and modules. It provided enough examples and lessons to learn for data analysis and the use of Microsoft Excel. Great final project as well which used everything I learned so far in the course
교육 기관: Muhammad Z R
•2022년 3월 11일
Excellent course which specially caters topic of data analysis and statistical area using advance excel and analytical skills. It adds new vision to people with Finance and Audit background too in addition to data analyst.
교육 기관: Leigh E
•2022년 1월 14일
I enjoyed this course. I have been a long term Excel user and learned some new things with this course. Although statistics and calculus are not required for this course, a review prior to starting would be helpful.
교육 기관: Sy Y W
•2017년 4월 4일
Hello, I am Gabriel Wang from TAIWAN. I am currently working as HSEQ Manager in a LNG shipping management company. Thank you for been so patient & Nice for having course online. I DO learnt a lot from it. Appreciated.
교육 기관: Jiang M
•2018년 10월 24일
Not very clear about the explanation of the mathematics. So that if you want to understand the problem clearly, you may need more reading on other materials. But there is no much materials offered but spreadsheets.
교육 기관: Madelyn H
•2020년 6월 6일
This is really an excellent course and you will learn more about excel functionality that I never thought exist. I've been using excel for 30 years. I'm so glad that I took this class. Thank you Prof. Daniel !!!
교육 기관: Nataliya
•2020년 6월 4일
It is not about Excel but about Mastering Data. It definitely worth its time! I was captured by the course and very useful material. Also, it is a complicated course about data analyses neither working in excel.
교육 기관: Tolulope A
•2019년 8월 25일
This course is superb! although the contents are tough but they are essential skills that vital to survive real world data analysis. Also, it gives me more confidence that I will hit my dream job very soon.
교육 기관: Maxim C
•2018년 8월 22일
Excellent course! The most valueable lessons for are those which explain financial models, because I'm going to build my own investing portfolio. Moreover, I remembered many concepts which I've forgotten.
교육 기관: Javier G
•2017년 8월 8일
Great Class but it could use some more detail and info for all the concepts and terminology. For example, entropy would be better understood with more detailed information about entropy and its concept.
교육 기관: Tekalign B
•2021년 11월 17일
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
교육 기관: Reginald N C
•2017년 1월 15일
I love this course and the way the material is explained. I plan on taking this course again to improve my understanding of the information because I think it relays very important ideas.
교육 기관: Tripper R
•2017년 11월 27일
A challenging course that rewards conscientious effort. Heavy on math, both practical and theoretical. Highly recommend comfort with college level statistics before taking this course.
교육 기관: Kevin M M
•2019년 9월 28일
J'ai énormément apprécié la qualité des vidéos, des exemples pratiques, des exercices ainsi que les documents PDF, WORD et EXCEL fournis pour comprendre et suivre facilement ce cours.
교육 기관: Aditya S
•2019년 2월 15일
This course has enabled me to think the way a data analyst need to think. This course helps in independent growth and getting know the topics by own research. Loved it ! Thank you !
교육 기관: Mainak M
•2021년 6월 18일
I am very happy to learn this course and very thankful to coursera and Duke University for giving me certificate in such a course like Excel and teach me clearly in every section.
교육 기관: Paul D
•2016년 3월 16일
Dr Eggers is a tremendous professor. The course has wit and application along with assignments that are well scaffolded to the learning content. Highly recommend this class.
교육 기관: anny r
•2015년 12월 13일
Thank you very much, the lesson is very useful to me. in order to understand what the necessity of a function. and the professor clearly explains everything in the right pace.
교육 기관: Brett R
•2017년 1월 17일
I very much enjoyed this course. I've been able to apply some of the strategies I learned in the specialization and I look forward to using it as a resource moving forward.
교육 기관: Ross C
•2018년 10월 15일
Challenging course, however very useful skills on leveraging Excel for data analysis. I enjoyed the examples as well as the class projects. Good mix of hands on an theory.
교육 기관: Zhao M
•2018년 11월 19일
The course is designed very well and digs deeply into the usage of binary models. It will be great if more contents are offered about the multi-factor regression model.