DP
Invalid date
This course covers the end to end cycle suggested framework that can be useful not only in Data Science but also in other Research Projects that manage information to create and deploy a solution.
JR
Invalid date
It is a very important course to understand the procedures and thought processes behind data science. I strongly recommend it to those who are unfamiliar with data science or reserach methodology.
By Lilliana A
•Feb 2, 2022
Loved the course overall, only wish it had reference to further detail the theoretical base and see more examples.
By Kyle H
•Jan 24, 2020
A solid course that covers the fundamentals of the process a data scientist will go through to complete a project.
By Sherri S
•Nov 22, 2022
I know this is a management level course presented at a high level, but I was hoping for more projects/exercises.
By vince l
•Dec 31, 2019
A good overview on the Data Science Methodology. This course could be the launching pad for Data Science journey.
By Eric G
•Oct 9, 2019
A nice overview of methodology but at times it feels rushed. Assignments could do with a bit more rigour as well.
By Jagan M
•Jun 10, 2024
You should have taken better usecase to explain the methodology. Also there is some overlap between some stages.
By Josimar K
•Jul 14, 2022
Great content. I learned more than I expected. tThe videos are great and the lab to practice are well elaborate.
By Korawan E
•Jun 4, 2020
This course is useful and very interesting but the contents of this course is formulated too hard to understand.
By Tim H
•Dec 21, 2022
This was a good introduction to data science methods. I appreciated the shortness of each video and assessment.
By Luie J
•Jan 24, 2021
A bit too fast. I think more case studies will help to understand the differences between the different stages.
By Bhuvana K
•Aug 5, 2022
the course provides more insights into data science methodology for resolving a problem with specific examples
By Mauricio F O M
•Oct 11, 2019
It needs to be more practical. A guideline telling what you really need to do inside each step would be nice.
By Christopher C
•Sep 1, 2019
Providing the slides for each of the lectures is advised as it helps students go back and review the content.
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 18, 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 16, 2020
need more examples if possible,
the readmission example is not clear
the cuisine ingredients example is clear
By Vishakh V
•Aug 26, 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 25, 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 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.