Learner Reviews & Feedback for Data Science Methodology by IBM
About the Course
Top reviews
OZ
Jan 5, 2021
in this course step by step guide for beginner data scientists is illustrated with practical application and real examples with codes! best course in this specialization so far. Enjoy it :)
JG
Nov 29, 2019
This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).
1976 - 2000 of 2,658 Reviews for Data Science Methodology
By Pawan P
•Apr 14, 2023
good course but video explanation in not good , and his content not understandbel overall good course.....
By Nwoke C
•Jun 3, 2020
The sited examples in this course makes the learning easily understandable. Of course, everyone likes food
By Mike D
•Jun 28, 2022
Understanding Python part without having prior knowledge is confusing & led to somewhat loss of interest.
By VICTOR A C C
•Jan 22, 2021
Excellent For Fundamentals on methodology, would like to learn more about Prescriptive Analytic approach.
By Leonardo R
•Oct 8, 2018
I think some parts of the course wasn't clear enough, but by researching on google about it helped a lot.
By Samuel L
•May 27, 2022
Very good and easy to follow, although more in-depth examples of different model would have been a plus.
By Rohit A
•Oct 20, 2019
This course was interesting but I felt that it was slightly confusing to apply for the final assignment.
By Kevin W
•Mar 25, 2019
It is a bit challenging for beginners but totally worth it. Ensure you read listen to the material well.
By Monica S
•Sep 4, 2018
Pretty solid information. Great for the novice with no background. Loved that it was basic and useful.
By Joshua A (
•Jan 27, 2022
Some interactive activities like vocabulary matching may help with recall and word/process definitions.
By Utsav D
•Oct 7, 2020
i think this course needs more practice cases so we can get much more comfortable with the methodology
By Siwarak L
•Sep 21, 2019
Some of the detail was briefly covered, learners need to research more from other educational sources.
By BAO W
•Sep 2, 2019
Since I believe this course is an important stage of the certificate, three sections may be too short.
By David G
•Jan 11, 2024
Un excelente marco que permite comprender el problema antes de abordar e implementar una estrategia.
By Germán G
•Oct 19, 2021
More examples are needed and that the modeling programs have more comments to know what is happening
By Vasanthaenian S
•Apr 2, 2020
It gives a brief introduction to Data Science Methodology and explains it well with proper examples.
By Friscian V C
•Nov 21, 2019
I enjoyed the course thoroughly but I wish more details were given for a deeper learning experience.
By Shivam M
•Aug 1, 2019
The methodology is good for creating a framework within which data analytics problems can be solved.
By Barış O
•Dec 23, 2023
its not realy enough for experimental teaching. but it can explain the things clearly with examples
By JOAQUÍN M A
•Feb 4, 2021
I think the final peer reviewed assignement should have more detail, more focused and not so "free"
By Sergio H G
•May 23, 2020
Very detailed and instructive way to put some frame on possible future data science project to face
By Mohamed H I
•Jul 28, 2018
good as an overview. But for me it was more theoretical concepts than on hand practicing practical.
By Haris A
•Aug 26, 2021
I have a unique experience to how to handle big data to find the answers to the business problems.
By Laken B
•Apr 10, 2020
Really enjoyed this! Hopefully it keeps getting better! Final assignment was also very well done!
By Nathan P
•Oct 10, 2019
Good overview of key methods in data science. Sometimes wish they went into a little more detail.