AG
May 13, 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 26, 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.
By shibu p
•Sep 24, 2019
I learned a lot on Data science methodology. Now i know how data scientist thing and work. It was a good experience.
By Yifan H
•Aug 22, 2019
love the food recipe case! i am not familiar with clinical case but the food recipe case helped me learn the theory.
By David A
•Jul 15, 2019
A good introduction to the process a data science uses to answer complicated problems. I found it very interesting.
By Shubham V
•Sep 12, 2021
Content and learning is good, but you can improve quality of images used in videos. Sometimes text was not readable
By Jeevan K
•May 19, 2020
I found it difficult to understand the Data understanding step in the course.
Examples can be little in normal terms
By Amogh K
•Mar 24, 2020
The final assessment is very confusing for starters and needs to be more in line with the material actually taught.
By Praveen K
•Oct 13, 2019
This course should have been in the later stages. It is too early to understand all what the instructor has to say.
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