Learner Reviews & Feedback for Data Science Methodology by IBM
About the Course
Top reviews
NN
Jul 7, 2019
I like the way they provide sample with food preparation on each of the stage of data science methodology. Need to give more sample for the study case to give more insight and understanding.
JG
Nov 30, 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 2,669 Reviews for Data Science Methodology
By Chonlapat S
•May 3, 2020
To little descriptive of each steps, too much focus on example which make it hard to apply to other problems
By Ranjeeth N
•Jul 21, 2019
Some times are not easily understood for beginners content needs improvement. There are some missing threads
By Partha S D
•Feb 19, 2019
Lectures were helpful and the content was great. It would be helpful if you guys can provide lecture slides.
By Andrigo M R
•May 22, 2020
It was a little difficult to understand the writing. Everything else was great. I'm learning a lot, thanks.
By Deleted A
•May 17, 2020
need more examples if possible,
the readmission example is not clear
the cuisine ingredients example is clear
By Vishakh V
•Aug 27, 2019
The video lecture sometimes feels too fast to follow as the content in the lectures are new to the student.
By Mark P
•Jul 26, 2019
The codes on the labs need updating. They don't generate the visualization necessary to reinforce learning.
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 29, 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 9, 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 28, 2022
Very good and easy to follow, although more in-depth examples of different model would have been a plus.
By Rohit A
•Oct 21, 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 5, 2018
Pretty solid information. Great for the novice with no background. Loved that it was basic and useful.
By Joshua A (
•Jan 28, 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 22, 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.