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 James B•
18 mars 2016
This class required far too much independent study. The instructor did not provide enough instruction or reading material to complete the quiz each week. There was too much focus on the conceptual data with very little emphasis on practical application of the material.
par Terry-Ann L•
5 mars 2016
This course is doable if you have prior knowledge of probability and statistics. This is not for beginners and should therefore by reclassified as intermediate and above. I am sorry I enrolled in this course. I have truly hit a brick wall and can go no further...
par Guillaume C•
17 nov. 2015
Way too many abstract concepts that are not relevant to the challenges that I encounter in my day-to-day role. I wish this course would actually show me how to solve PRACTICAL business problems.
The 2nd part of the course is not enjoyable at all. Sorry.
par Ivan K•
4 avr. 2020
There are dozens of formulas, but almost no examples and clear instructions of what to do step by step and explanation of how we can apply obtained knowledge in real world. One exception is the Markowitz Portfolio Optimization which is great.
par Loukas K•
4 sept. 2016
This course is only supported by a course of data analytics. It should clearly state that advanced statistics is a prerequisite knowledge. I expected to learn advanced excel techniques, not to be required to know statistic models to apply.
par Luke B•
1 oct. 2017
Poorly explained , you don't actually learn much excel . They just continuously provide spreadsheets for you without teaching you how to actually use excel for data analysis. Would not recommend for beginners wanting to learn excel.
6 févr. 2016
I feel that the course does cover adequate topic to improve our mastery of data analysis in Excel. The course is more focus on the statistic and probability theory without giving adequate explanation on how to work on Excel.
par Cheng-Kang C•
28 mars 2019
Extremely challenging to put so many concepts into one course.
I have to do my own studying and research outside of this course to catch up with.
However, it is a good start to follow what need to be learnt for data analysis.
par Lisa Y•
25 févr. 2016
In light of R or Python, doing statistical computing in excel is really time consuming and backward. The instruction might be OK, but I lost interest beginning of week 2 seeing how he build binary decision model in excel.
par Chester J•
2 sept. 2017
Lectures are messy, and assume more in-depth statistical knowledge than they have led-on in the course requirements. Quiz questions are also sometimes poorly explained and requires digging into the forums for corrections.
par Thierry M•
24 juin 2020
It is an okay refresher for Excel basics. But not a very good course for teaching you how to make a model using excel. The statistics and probability portions of the course were okay but definitely not taught very well.
par Gail C•
30 sept. 2020
Great class. However, there are some serious data mistakes in the projects. Please take the time to review and correct the errors throughout the course. It causes unnecessary confusion for the students.
par Luis d M O•
9 janv. 2016
Videos fine. Quizes impossible to understand unless you take previous courses and have time to go through forums and more extra staff. It takes a lot of time. Not suggested unless you have it.
par Phil M•
16 févr. 2016
I expected far more handy real life Excel examples, not to see a teacher speaking and writing stat formulas for hours.
The idea of this course is very good, it has some room for improvement.
par Candice S•
7 sept. 2017
This course is too focused on specific real world applications like confusion matrix and ROC curves that are very useful. I would rather spend more time learning actual features in Excel.
par Karina L•
7 mars 2017
Final project almost impossible to do with material taught. Also, each lecture comes with an additional spreadsheet that needs to be studied. Material taught doesn't match material tested.
par Christian H•
22 janv. 2016
Very confusing stuff, need better clarification in course description and the way the material is transmitted to the student need to be reconsidered
But very well made and interesting.
par Rocío d C A M•
13 nov. 2015
El curso no ense;a cosas prácticas en el análisis de la data. Además el enfoque es muy financiero, tomando en cuenta que no existe solamente el sector privado sino también el sector
par piyush g•
19 mars 2017
Not quite the excel actually relevant to industrial requirements. had to leave the course mid way.
There are better Excel DA courses out there. Concept presentation was good though.
par Rebekah L•
4 sept. 2016
Very little to do with Excel, mostly focused on statistics with brief overviews of how things could be done within Excel, but very little focus on actual Excel use and knowledge.
par Smit R•
5 juil. 2017
The lectures are poorly delivered. The quizzes are ambiguous. The files available for download are erroneous. It seemed the professor was not paid for this course. Stay Away!!
par Olga I•
13 janv. 2019
I wish there were more quizes after each video to memorize the formulas and get a hold of them.
For the begginers this course is way too difficult to comprehend on their own.
par Hannah S•
4 déc. 2015
Too much material, that moved too fast. Wasn't opportunity for enough feedback and explanation. I say this as someone who went to Duke and has taken similar classes at Duke!
par Ashish M•
17 févr. 2016
The content of the course was good.
However, I did not like the presentation of the material, moreover such a topic would need to be covered by a longer duration course.
par AAKANKSHA S•
5 déc. 2020
This is a high level course and the beginners cant adapt easily with the probability and statistics terms used.
A better way of teaching could have been used.