May 10, 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
Mar 16, 2018
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
By Kalle A•
Jan 03, 2018
I enjoyed the course, but I think the exercises could be improved a bit. Especially in the last two ones could have better explanations and examples of what's expected from the answer.
By wilfried l•
Dec 27, 2019
You will learn a lot, by yourself to solve the assignment.
Which could be see as a good way to learn
Time to do each assignment is clearly under estimated. You can multiply by 2 easily
By Juan C M•
Jul 04, 2020
Too much self-learning taking into account that this is supposed to be a course, could make example projects for better understanding instead of jumping right away to the assignment.
By Itzhak K•
Nov 05, 2019
The course was fine, but the last assignment was too hard for me. And I think that for Introduction to data science - the first course in the series it shouldn't be so complicated.
By Rhishikesh J•
Mar 29, 2018
Amazing course for an introduction to the pandas library and its main data structures Series and DataFrame.
Improvements could be made to the hypothesis testing section of the course.
By Aarya B•
Sep 15, 2019
Great explanation. But the speed of tutor is quite fast, so one needs to rewatch again and again. And for better understanding one has to practice questions from external resources.
By Fei Y•
Oct 28, 2018
You should break assignment into smaller substeps. You should also provide more comments like 'your dataframe size is incorrect or starting from which line you result has error'.
By Lucas S D S•
Jun 16, 2020
It's a really challenging course for someone with an intermediate level of Python and pandas, I really enjoyed . The only minor point is the quality of the theory on the videos.
By Paolo V P•
Sep 14, 2019
Requires some knowledge of the topics covered, otherwise the lessons are hard to follow.
More examples should be given for each topic, to consolidate the student's understanding.
By Rajat S•
Sep 12, 2018
GREAT assignments, average-ish course instruction. Would recommend just for the assignments, great way to get your hands dirty with data manipulation work in python using pandas
By Joanne L•
Feb 24, 2019
Prior coding experience would definitely make this course easier to pick up. A lot of the learning i found isn't driven from the videos itself but from just constant googling.
By emmanuel H•
Aug 15, 2019
The video of this course are good. Assessment questions and the expected format of data need to be clarified so that we really understand what is expected to pass the course.
By Navaneet K A•
May 29, 2019
The accent of the instructor was too fast, which made the content incomprehensible. The course unfolded very rapidly, giving little room for beginners to understand on spot
By Anastasiia P•
Jul 18, 2020
I think, that the structure of the lectures made it difficult to concentrate on the material, but the assignments were very good and I have learned a lot while doing them.
Jan 18, 2018
First three modules are great but in the last module (Week 4) Prof Brooks is rushing through many topics. Probably consider having lesser content with proper explanation.
By Estapraq M K•
Jan 07, 2018
The instructor doesn't explain that much, he could do better than that. It is an independent study. The only thing I enjoyed was the links and the articles, that was all.
By Micah D•
May 02, 2018
Course has a great amount of information that is wonderful, but the instructional videos are less and less helpful as time goes on, and the autograder is the devil.
By Vishwakarthik R•
Jul 29, 2017
The course content was good but the assignments were way too tough.The assignments should have been a bit easier because i lost interest due to the tough questions.
By Jan K•
Jul 15, 2017
The programming assignments were a little frustrating.
I feel a little more time should be spent on the theory behind pandas and how the library works conceptually.
Jul 09, 2019
I think the assignments waste too much of my time since I have no problems using proper programming skills, but have lots of problems catering to the auto grader.
By Taras P•
Dec 10, 2016
Top free course about Data Science. But I think lectures must be more detailed and related to assignments. And assignments could be less ambiguous and more clear.
By Manuela D•
Jan 03, 2018
Some exercises of the assignments where ways to difficult compared to what learned during lectures: much more details should be provided about data manipulation
By PRACHUR G•
Apr 27, 2020
the course is really good but there are issues with autograder. Though they are addressed in forums you'll have to go through them and hence wasting your time.
By Chan W Y J•
Jan 24, 2018
You'll spend more time struggling with the jupyter notebook (assignment platform) than actually writing or learning code. The lectures are really good, though.
By Yan X•
Nov 04, 2019
Great content. But some assignment questions are not that clear and might cost you more time than its worth. And feedback from mentor is not that responsive.