9 de may. de 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
28 de sep. de 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.
por Yiyi C•
23 de jun. de 2018
The course schedule is tight. I feel like a little bit hard for non-cs major learners. The good thing is you could still upload your homework even after the deadline before the last day of course.
por Jae H H•
3 de abr. de 2018
The course offers very little guidance. Nevertheless, I learned a lot but it's really not that well structured. The course also makes you do homework on something that is not covered in the class.
por Wei L•
11 de may. de 2018
i like the course content. but the assignments need improvement as i wasted lot of time due to unclear instructions. also if the professor can compile more content into slides that will be great.
por Nidhin J T•
25 de sep. de 2017
It’s very fast paced. Personally I would prefer to spend more time on each topic particularly since it deals with the basics of data science and is very important to understand each topic clearly
por Alexander K•
17 de ene. de 2017
Skills acquired when finishing this first course are very useful and applicable. However, lectures and assignments are almost unrelated. This course is nothing for people who are new to python.
por Ruban S•
7 de abr. de 2019
The coursework validation could use some work to be more concise with error messages but it's OK as long as you work with it.
Content is good and seems to give a decent coverage to the basics.
por Henrik R•
1 de jul. de 2022
Assignments often only accept certain solutions and go beyond what was taught in the class. Otherwise the course is pretty good, but you will spend hours after hours stuck in the assignments.
por Luis V (•
22 de mar. de 2021
Great course, but the programming assignments take too long time and are more than python only assignments, researching about geography or where a team belongs to, that takes a lot of time.
por Mark E•
14 de mar. de 2017
This course relies almost exclusively on self learning of the details of pandas. It would be greatly improved by examples of how to use pandas to solve problems similar to the assignments.
por Kevin d V•
6 de dic. de 2017
I learned a lot. But be aware that programming skills are a requirement for this course and that you will have to research the web (stackoverflow, pandas documentation) on your own a lot.
por Sebastian R•
3 de dic. de 2019
Good course i.g! But it is quite annoying, that the auto grader (python 3.5 ?) does not behave like the online coursera notebook (python 3.6.2), which leads to errors at the evaluation.
por M J•
21 de dic. de 2017
Course material is good, covers the right topics to get started with python and pandas. Assignments and especially the grading process require a bit more patience than I was expecting.
por Kalle A•
3 de ene. de 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.
por wilfried l•
26 de dic. de 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
por Juan C M•
4 de jul. de 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.
por Itzhak K•
5 de nov. de 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.
por Rhishikesh J•
29 de mar. de 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.
por Aarya B•
15 de sep. de 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.
por Fei Y•
28 de oct. de 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'.
por Lucas S D S•
16 de jun. de 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.
por Paolo V P•
14 de sep. de 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.
por Rajat S•
12 de sep. de 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
por Joanne L•
24 de feb. de 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.
por emmanuel H•
15 de ago. de 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.
por KULKARNI G•
8 de feb. de 2022
This is good course but you should really have good knowledge of python before doing this course. even if this is introduction course still python basic knowledge is needed