Learner Reviews & Feedback for Data Science Methodology by IBM
About the Course
Top reviews
AG
May 14, 2019
This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)
JM
Feb 27, 2020
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
1976 - 2000 of 2,658 Reviews for Data Science Methodology
By Pawan P
鈥Apr 14, 2023
good course but video explanation in not good , and his content not understandbel overall good course.....
By Nwoke C
鈥Jun 3, 2020
The sited examples in this course makes the learning easily understandable. Of course, everyone likes food
By Mike D
鈥Jun 29, 2022
Understanding Python part without having prior knowledge is confusing & led to somewhat loss of interest.
By VICTOR A C C
鈥Jan 22, 2021
Excellent For Fundamentals on methodology, would like to learn more about Prescriptive Analytic approach.
By Leonardo R
鈥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
鈥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
鈥Oct 21, 2019
This course was interesting but I felt that it was slightly confusing to apply for the final assignment.
By Kevin W
鈥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
鈥Sep 5, 2018
Pretty solid information. Great for the novice with no background. Loved that it was basic and useful.
By Joshua A (
鈥Jan 28, 2022
Some interactive activities like vocabulary matching may help with recall and word/process definitions.
By Utsav D
鈥Oct 7, 2020
i think this course needs more practice cases so we can get much more comfortable with the methodology
By Siwarak L
鈥Sep 22, 2019
Some of the detail was briefly covered, learners need to research more from other educational sources.
By BAO W
鈥Sep 2, 2019
Since I believe this course is an important stage of the certificate, three sections may be too short.
By David G
鈥Jan 11, 2024
Un excelente marco que permite comprender el problema antes de abordar e implementar una estrategia.
By Germ谩n G
鈥Oct 19, 2021
More examples are needed and that the modeling programs have more comments to know what is happening
By Vasanthaenian S
鈥Apr 2, 2020
It gives a brief introduction to Data Science Methodology and explains it well with proper examples.
By Friscian V C
鈥Nov 21, 2019
I enjoyed the course thoroughly but I wish more details were given for a deeper learning experience.
By Shivam M
鈥Aug 1, 2019
The methodology is good for creating a framework within which data analytics problems can be solved.
By Bar谋艧 O
鈥Dec 24, 2023
its not realy enough for experimental teaching. but it can explain the things clearly with examples
By JOAQU脥N M A
鈥Feb 5, 2021
I think the final peer reviewed assignement should have more detail, more focused and not so "free"
By Sergio H G
鈥May 24, 2020
Very detailed and instructive way to put some frame on possible future data science project to face
By Mohamed H I
鈥Jul 28, 2018
good as an overview. But for me it was more theoretical concepts than on hand practicing practical.
By Haris A
鈥Aug 27, 2021
I have a unique experience to how to handle big data to find the answers to the business problems.
By Laken B
鈥Apr 11, 2020
Really enjoyed this! Hopefully it keeps getting better! Final assignment was also very well done!
By Nathan P
鈥Oct 11, 2019
Good overview of key methods in data science. Sometimes wish they went into a little more detail.