CB
Feb 6, 2023
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.
PK
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
By Syed I S
•Jan 22, 2020
The speaker is so dull, And the way he speaks doesn't motivate one to learn the things with interested. The speaker of the videos should be the one who speaks passionately about what he is saying..
By Kyle L
•Mar 12, 2018
A very nice introduction to libraries/skills used by data scientists. The auto-grader was extremely annoying though. Also, I felt that some of the questions on the assignments were a bit ambiguous.
By Kirk H
•Jan 23, 2018
Massive learning curve. I was going to recommend this course as an intro to Python/Pandas to my colleagues but the content ramps up too fast for those with only introductory programming knowledge.
By Fernando B M
•Mar 26, 2018
Loved it! Exercises were really interesting. A bit too dense at some points till the point i had to go back several times on some videos. The jupyter notebooks to follow the lessons are brilliant!
By Richard N B A
•Nov 19, 2016
Although the tests can be a bit fiddly, this is a great course if you already have a bit of background with Python and/or data cleaning. Lecture and tutorial videos are lean and information-dense.
By Wasim I
•Feb 8, 2021
The videos provided by this course is very good for learning the basics of data science and we really do not need prior knowledge of python just need to be familiar with any programming language.
By Pratheeksha M
•Jul 31, 2020
The course content was good. But the assignments demanded more. Some information was incomplete in the assignments that is, info about datasets were not sufficient to solve the entire assignment.
By Sandesh P
•Jan 16, 2021
Course is easy to understand but when it comes to solving assignments it's not that easy with the introductory level knowledge of python.I am expecting hints at each step at solving assignment.
By Ayushya J
•Jun 4, 2020
Overall Course is too good and helps us to know how to deal with large sets of data but being a beginner the course contents are not tough but the assignments are tougher than our expectations
By Fanfan Y
•Feb 5, 2017
Nice course! there is only one suggestion I want to send you, the video is so short that we can not learn the pandas more in the course. So I hope you can provide more detailed videos thanks.
By Albert W R
•Sep 5, 2018
Good course. I enrolled having used Pandas and Jupyter for the last 6 months and it still showed me a few tricks. I especially liked the sections on evaluation the efficiency of operations.
By Lujia F
•Sep 21, 2017
Great introduction course on Python. It needs a lot of time on self-learning, and the Discussion Forums are very helpful in solving the assignment problems and boost your learning experience.
By Leandro B
•Jun 21, 2020
This is a challenging and engaging course. The only feedback I have is that the assignments could have better description on what it is expected and the module notebooks need to be improved.
By scarlet d
•Feb 21, 2020
Still involves outside research to complete assignments. A little more explanation of new commands would be a good addition. Otherwise, the course was challenging and covered several topics.
By Ian M
•Apr 16, 2019
Really excellent lecture materials. Programming assignments are challenging, but have too many quirky aspects, and require time to debug (without additional learning). Would highly recommend
By Cristian F L
•Nov 10, 2020
Es un curso interesante aunque considero que las explicaciones son muy cortas y los trabajos de cada unidad para calificar utilizan conceptos de las unidades siguientes, deberÃan mejorarse.
By Akanksha P
•Oct 2, 2020
Its a great experience to learn online especially with Coursera I just get everything about data science and technology . thank you so much the team of Coursera to provide the course to us.
By Christoph S
•Jan 5, 2019
The course has good course assignments, but the description of the assignments is sometimes too short. The lectures are a bit fast, but since it is an advanced course, it is a good balance.
By Mohan B
•Jul 24, 2019
the content covered in the course is very less to the questions asked in the assignment. Need some more detailed videos for explaining the functions available in python and how to use them
By ranjith d
•Dec 12, 2016
Good for Beginners. Assignments are good but question framing was poor. Of course, required doubts are clarified through Discussions. Overall Great Experience doing this course. Thank you!
By Prakhar s
•Jul 4, 2020
Overall nice, it serves you to go serach for new things and mainly grasp concepts more strongly by yourself.Nice, could have taken more time for statistics rather than just data cleaning.
By Samantha T
•Nov 26, 2017
The material in this course is great. The only problem I had was that some of the assignments had very poorly worded questions which led to a lot of confusion. Overall, a very good course
By Akshansh M
•May 27, 2020
Loved It, the lectures were short and concise, while the assignments were interesting and challenging if nothing else this course really made me feel like a data scientist in the making.
By Ifenaike A O
•May 6, 2020
Excellent course but not great for beginners...
For a beginner seeking to transcend from python basics to python libraries for data science e.g pandas I suggest you don't start with this
By Vipul D
•Jul 3, 2019
A really in depth course which could have been a bit more elaborate or just make it a bit more easy to understand by making use of some more examples.Overall a great learning experience