YH
Sep 28, 2021
This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
CB
Feb 6, 2023
The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.
By Declan K
•Sep 20, 2017
The assignments were a very good indicator of progress. The tutor was a great help for when I had a problem. Thanks a million ;-)
By Colton L
•Oct 4, 2021
programming assignments and quizzes were tedious. I think best way to learn syntax is generally learn by doing. Class was decent
By SHUBHAM P
•May 29, 2020
Course could have been taught with some more depth and focus given on covering more concepts. Otherwise the curriculum was good.
By Mauricio
•May 6, 2020
I gues is important give more estructures to the student, i think a little cheatsheet of python is very useful for the students.
By Vijayaraghav K
•Nov 7, 2019
The assignments were a bit difficult. It sometimes demotivates when the going gets tough. Was able to crack it in the end though
By noiplee
•Aug 3, 2019
Great courses,enjoy.But this is the hardest course I ever have on coursera.Slow down the speech and coding part would be better.
By Haotian H
•Feb 19, 2018
course content is very good. the assignments need to be more detailed...some questions are confusing and need more instructions.
By SANJANA K
•Jun 27, 2020
It was a knowledgable experience. But I would say need a bit more work towards explaining the programming during the sessions.
By Hans C P
•Jun 26, 2020
It was difficult to choose; 4 or 5 stars. It is a 5 star course, but due to my fighting with the autograder, I ended up with 4.
By Anatolii L
•Apr 13, 2020
Pros: Good and practical syllabus
Cons: no so clear explanations of some topics, problems unclear issues with assignment grading
By Mujeeb A F
•Jul 18, 2018
Course content was really good as it focused more on practical work rather than just theory. The last assignment was difficult.
By Apurv S
•Nov 28, 2016
Very good... but question should have been properly explained (in a detail manner).. overall it was a great learning experience
By Xinyang W
•Oct 26, 2019
Video instruction is way too short compare to other Coursera courses. I don't think it's a good course for absolute beginners.
By Zhenying T
•Sep 8, 2019
The lectures are a bit fast and there are a few errors in the homework. The homework is very helpful and uses real-world data.
By Karina L
•Oct 17, 2018
It is necessary to explain more some definitions and some assignment are not entirely clear. Excellent response from the staff
By Alain D
•Feb 20, 2018
Good course, you have to do a very large amount of work and research and test on your side in order to properly understand it.
By James S
•Jul 13, 2020
Excellent course for introduction to pandas. Espacially the assignments offered in the course are great and very well picked.
By Jacob L
•Aug 23, 2019
It was a good solid course on intro data science with Pandas. I found the videos were a little dry, but the content was good.
By Aditya M
•Jul 25, 2019
Overall you get to learn new and good ways of doing pands and matplotlib but its way too fast for anyone with basic knowledge
By SHUBHAM S P
•Feb 9, 2019
Really good course for beginners in Data Science . The Faculty is very nice and explains each and every concept very clearly.
By EMRE D
•Aug 2, 2018
Submissions were generally hard, if you want to take this course you should learn most of the programming things by yourself.
By Sang L
•Apr 16, 2018
Good Intro part for pandas. The homework part is more difficult than the materials. Materials could have been more organized.
By Duvert P
•Sep 7, 2021
You need kind of basics about programming, Further, the activities you need a lot of self research to clarify the statements
By jordanno p
•Jun 27, 2021
Course itself really good, assignments rather boring, specially the repetition and the manual cleaning/checking of the data.
By Matthew H
•Apr 27, 2021
This is an intro class but it feels like Data Science 5000. Be prepared for long nights, but I feel there will be a payoff.