CB
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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.
PB
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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science
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.
By Guido L
•Jan 19, 2018
Takes some more time than it is said in the course. I didn't have any experience in Python so that is probably the reason.
By Moustafa S
•Jul 15, 2020
it was really good and challenging and of course it made me feel like i'm solving a problem for a job or a life experience
By sunit j
•Apr 25, 2020
A very good course for any aspiring data scientist to improve their data wrangling and pre-processing skills using Python.
By kumar s
•Sep 3, 2019
The Video content is not satisfactory. The content must be improved. It does cover only the edge. This should be enriched.
By Tiago F
•Jun 17, 2018
Curso muito bom e esclarecedor, apenas as atividades a serem desenvolvidas que são um pouco mal apresentadas ao estudante.
By Zaks L
•Apr 8, 2018
Good course - requires a lot of self-learning, but that's not a huge problem. I think we could use a little more support.
By Vaishnavi C
•Jun 30, 2017
The course assignments were very helpful in understanding the concepts better while encouraging the students to self-learn
By Marcus
•Jun 9, 2017
The assignment is useful, however, the grading does not give much information on the submission except the points awarded.