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 David T•
Dec 3, 2016
Good lectures and a good introduction to the subject matter. Definitely requires additional research and practice is weak on Python and the Pandas library. The comments in the auto grading could be more helpful.
By Magdalena T•
May 9, 2022
A little too hard and vague on the assignments. A really well done course with an in depth approach, a lot of your own learning, a lot lot lot of time debugging your assignments, and great assistants on the forum.
By Abraham S•
Jul 12, 2021
Good but found the final assignment a slog given I couldn't care less about American sports. Something more universally accessible as a topic would be better for an introductory course with an international cohort
By Jatin S•
May 15, 2020
You teach well but you need to take some more classes dedicated towards solving problems.
You need to make us all solve a wide variety of problems and then give assignment. This is the only thing that was missing.
By Sankalp J•
Jun 17, 2019
A bit hard course to start with. If you are looking to enter in the field of data science, better don't go with this course. But if you have some basic knowledge of field then it's awesome. Thumps Up!!! Go For It.
By Alejandro L•
Dec 18, 2018
Is a great course, I don't give it 5 starts not because it is pretty tough (at least for me) but because the lectures are very simple compared to the HW. If you like to be challenged, I fully recommend this course
By Simone B•
May 1, 2022
The descriptions of the tasks are awful. It's not really clear what to do. In the forum you can see, that many other people have the same problem...
The explanations are excellent, and I really enjoyed the course.
By Shams R R•
Aug 27, 2021
Overall the course is pretty comprehensive and requires quite a bit of experience in coding. The lectures are precise and directed. However, some lectures should incorporate further explanation and clarification.
By abhishek s•
Jun 7, 2020
The lectures could have have been more detailed as learning self might be difficult foe beginners. The Assignments were very good and an active discussion forum helped in solving those.Overall I liked this course
By Azeem F•
May 15, 2020
a brief introduction to data science in python,and how to use the library 'pandas' and how it plays an important role in data cleaning is being taught,indeed a good course to kickstart for data science in python
By Jun K•
Oct 27, 2018
This is good course as a whole, but lecture videos are a little short for assignments and sometimes assignment's definition is not clear. So it's hard to complete assignments without the help of discussion forum.
By Oleg S•
Aug 7, 2017
Thanks God I'm just after "P4E"-specialisation, but anyway it was difficult. Additional resources was needed through all assignment. Real help was/is/will "Learning Pandas'-book!
4-grade just for difficulty reason
By Shashank S•
Jan 17, 2019
The questions for the assignment could be more clear with a sample output. Also, the instructions for the assignments could be clearer. Apart from these, the course is fantastic to get started with data science.
By Matthew M•
Nov 4, 2017
Lectures are VERY dense with material. I needed to pause the video and study the learning point (using jupyter notebook and Python API) to absorb it. That said, I was new to Python, which also slowed me down.
By Victor E•
Jul 17, 2017
The course is fantastic. Lectures are clear and informative. Assignments are well-designed and encourage studying. Grader is not great, this adds up to frustration and reduces the overall score for the course.
By Lajos P•
Sep 4, 2020
Felt like a real college course in that more learning occurred outside of the lectures.. I'm excited to see what the new course version will include, it looks promising based off what they say will be added.
By Tushar T•
May 14, 2020
The course is really good and easy to learn. Only thing is that the content is less. Maybe because it's just the introduction. But overall, course is good and one really get to learn basic about data science.
By Paresh B•
Dec 17, 2017
This course is amazing. Explanation are good. Assignments really provide some exciting challenges which create curiosity to find multiple ways of achieving a result. Looking forward for same with next course.
By SANKET P•
Apr 7, 2020
It's a bit fast-paced for new learners nut is a perfect way to dive into the applied world of python for intermediate learners. I would highly recommend this course(12/10).
Thanks for the AWESOME experience!
By Aminath K G•
Aug 1, 2020
I thoroughly enjoyed it. The pace for week 3 and 4 were a bit fast given that it was 1 month course (at least for me, as someone with full-time job). I look forward to playing around with Pandas and Numpy.
By BIJOY K G•
Jun 23, 2020
It was an interesting course i came to learn a lot of new things under python like how to use the pandas, Matplot and Numpy libaries. It has taught me how the data are being process under the pandas libary.
By Shashwat D•
May 9, 2020
This course is quiet hard as compared to Python 3 specialization courses. Use of interactive textbook just like in Python 3 course would have been better along with jupyter notebook. Course content is good.
By CW G•
May 19, 2019
i find this to be a great follow up from the Python for Everyone course. The course introduces python functions which are commonly used in data analysis and the course assignments are practical and useful.
By Prathamesh P•
Feb 7, 2017
Very well structured course. I would really appreciate if there are more video lectures. For someone like who is not from CS background, self-study topics can get really difficult.
Apart from that loved it.
By Ali M•
Sep 2, 2020
This course is a great introduction for the basics of data cleaning, searching and proving hypothesis. The main con is that sometime the question in an assignment isn't that clear, but overall, thumbs up.