RR
Oct 10, 2020
Before joining this course i was not aware the different methods, techniques and tools of data analytics. This course gave me an immense knowledge bank to understand, read and represent the data
S
Apr 5, 2021
Amazed at the quality and liveliness of the course. By far the best course I have taken with Coursera. Many thanks to the Faculties who put this up and fellow students providing peer review.
By Maksim A
•Jul 17, 2020
Great course!
By Saurabh
•Nov 30, 2020
Great course
By ABHISHEK G
•Mar 31, 2023
Good course
By Diego A P G
•Jun 20, 2017
Good course
By Mohamad S A W
•Mar 1, 2017
good course
By Navjot S
•Jul 29, 2016
I loved it.
By Pedro S H
•Oct 19, 2019
Very good.
By Jesus A
•Sep 29, 2016
very smart
By Mehdi S
•May 24, 2020
Perfect!
By Deleted A
•Apr 16, 2017
Excelent
By Esther O O
•Feb 16, 2023
helpful
By Utkarsh A
•Jul 10, 2017
AWESOME
By Erik B R
•Jan 6, 2024
great
By Abhishek R
•Jul 3, 2021
Great
By Prashant R
•Dec 27, 2019
Nice
By Eric T
•Oct 25, 2016
nice
By SOL K
•Mar 1, 2022
S
By KAMAL A
•May 22, 2020
I thoroughly enjoyed the course and have acquired the great undertsanding on Business analytics . However I believe in evolution and continuous change and I guess few of the concept may have got redundant as this course have the recoding and lectures of 2015 -16 . Neverteless the ofundation is been laid an its strong too . Another concern is on Capstone project it was a the great thing to ascertain and evaluate your understanding of the course but the same gets diluted as its been reviewed by peers who may or mayot have the deep understanding of the course but they do rate with either now or simplya good feedback . I woud have expected a critical review of the the project to test our understanding . But I still love the course and my sincere thanks to each and every proffessor of Wharton who have been a catalyst in my journey of learning the concepts .Thanks once again !!!
By Siddharth I
•Mar 18, 2018
Quite engaging and enjoyable. The video recaps of previous material is relevant to the goal of each week. Peer review is helpful to improve the way you approach the project, especially in the first week. Some of the things you're rated on are fairly simple to satisfy - a basic understanding of the course content is generally enough, although going further does seem to be recognized in the scoring. All in all, a good course for working out your analytical thinking muscles.
By Mohamed A H
•May 21, 2020
Though the Project was Great! and was fun doing. I believe the tasks involved could have been a bit more comprehensive and with some dedicated guidelines. I dislike the high degree of Plagiarism running amok on Coursera on this project. Many Students posting copy pasted works from older projects or re-posting other students work. But in General good Course to jump start a Business Analytics understanding.
By Carl O H
•Jul 24, 2016
The Capstone project was on a very interesting topic, however it did not really allow much utilisation of knowledge from the course and was lacking in it's relevance to the application of data analytics. If this area of the project is addressed, it would deserve the five stars.
By Kevin S L
•Aug 7, 2019
This was an interesting class. It was interesting to see how different people solved the same issue. We all had access to the same courses and supporting information, but seemed to lean into the solution based on different perspectives.
By Atul P
•Oct 5, 2017
Feel there is an opportunity to the amount of time allocated for the first two parts...perhaps give the students two weeks to address the problem statement and strategy as they go hand in hand..?
enjoyed the course thoroughly
By Abhiram S
•May 31, 2024
Great idea on paper but waiting for a peer review is painstaking. Decent way to utilize key course concepts, however it's a bit odd how this entire project was based on the easiest of the 4 core courses.
By siddharam b
•May 26, 2020
Great explanation , Accouting Analytics - need to include some more additional details on Accounting basics . Non Accounting people finds this course difficult.