May 9, 2020
The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
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.
By Alfonso E•
May 25, 2020
You basically need to learn everything by your own if you want to pass the assignments, there is little to none learning from the videos, But at the end if you make all the effort by yourself you will end up with lot of learning in how to use Pandas.
By HIMANSHU V•
Aug 7, 2019
Not a good course even if someone has done prerequisite courses. Nothing is explained well in lecture videos but expectations are very high in assignment questions. Even if there were no lecture videos, that wouldn't have made any difference.
By Max G•
Jan 28, 2017
Two stars because I have found poor explanations of assignments. I finished the course without being very clear what I was asked, and I lacked more feedback when one of the tasks is wrong. The teacher and the videos are very good.
By Pavel B•
Mar 12, 2021
Pleasant teacher, nice organized course. But the teacher tells you about 10% information that you face in assignments. Literaly like this: "Ok, fella, I've explained you about 10%, the rest 90% you will find yourself somehow".
By Madeleine S•
Sep 23, 2019
The topic explanations and videos are very simple compared to the level of difficulty of the assignments. Also, assignments are ambiguous, it takes a lot of time and forum visits to completely understand what is being asked.
By Richard S•
Jun 18, 2020
What they teach and what they give as assignments have a huge gap in knowledge level. Hopefully they revise the transcript and teaching material. Finished this course, but had to take a lot of help from other sources.
By Kapil T•
Jun 9, 2020
Course will just give you an overview of basics.
This course will just make you familiar with some terminologies, assignments are good but lectures are not sufficient to solve them. lectures will just show you direction.
By Paul J•
May 28, 2019
I realize Python is prerequisite, but there is very little Python instruction. At a minimum, it would have been very helpful if the professors explained the syntax of the python examples that are shown during lectures.
By Tushar S•
Aug 5, 2020
It was a difficult course. I had to learn all the stuff by myself. I request Coursera and University of Michigan to please elaborate the things taught in the class. It has been very difficult for first timers like us.
By S. M A I•
Jul 22, 2020
The teaching way of the course teacher is not very much understandable. Most of the time I had to watch YouTube videos to understand the functions. The 2 stars I'm giving, is for the materials covered in this course.
By jaid j•
Jul 14, 2020
I really think this course is not organized in this way. It should be a little organized. The overall concepts are not clear either. This course is not so good as an introductory course in data science.
By Mike B•
Jun 5, 2018
I was considering taking the other data science courses offered in this series but was not happy with the way this course was prepared. I completed the course but would not recommend it for beginners.
By Mu H•
May 9, 2020
The lecture is so compact that does not tell us all the needed details. The assignments are just too much work, and we are expected to find everything by ourselves... Not recommended to newbies.
By Arash S M•
Aug 22, 2020
They barely touche over the material in the lectures, the assignments are mostly a waste of time and unrelated to the topic thought in the lectures.
This would be a good course if it was free.
By Judit A T•
Dec 4, 2017
The explanations in the videos are very superficial compared to the level you need to demonstrate in the assignments. It's basically self-learning with very negligible amount of guidance.
By Simge K•
Mar 5, 2018
I think that this course is not an introduction course. The assignment were really hard. If there was little assignments after 2-3 min. of video lectures, it would be more informative.
By Vaibhav S•
Mar 27, 2020
Content In Video Course Was Very Poor Especially the background kept me disturbing regularly, I literally had to cover the area with my hand to hide the background movement with hand.
By Hussain M•
May 13, 2019
The course is neither for beginner nor for intermediate level students. Course is sort of tutorial where how is well explained, what is some time explained but why is always missing.
By Abdullah A Z•
Jun 19, 2020
The introduction videos are tiresome to watch. Instead of explaining how to program it would to be better to give an assignment and use videos to only explain data science concepts.
By Mona F•
Jun 5, 2020
The course content and the learning strategy is very good, but restricting assignments submissions to the paid subscription, although I have received financial aid from Coursera.
By KJ B•
Jun 20, 2017
The code is already written, which means there is no opportunity to practice. More over, the examples have no baring on the homework problems. Would not recommend this course.
By Dr. P R•
Jun 15, 2020
The lectures are not very useful in solving the assignments.
This cannot be said as an introductory course rather it requires good python skills before starting this course.
By Jose N N P•
Feb 15, 2018
Lot's of problems with the autograder, lack of teaching staff support to answer questions in a timely manner. Assignments need to be more representative of class lectures.
Sep 7, 2019
Content wise is ok. An easy introduction. The bugs made it annoying. Especially Week 2 final exercise https://nzh13lxjj0.execute-api.us-east-1.amazonaws.com/prod/index/2/
By Colby G•
May 2, 2022
Exercises at the end are way harder than they should be for how little is taught during the actual course. 1 question from each final exercise is more than enough.