YH
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.
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.
By Dominik K
•Feb 11, 2017
Overall a very nice introduction to Python. Sometimes the checks for the assignments were a little annoying. It would be way easier if all the checks would be published from the outset.
By Óscar V
•Dec 10, 2020
The assignments are underestimated: it takes a lot of time more than the supposed. At least in my case. But worth it: through them one can learn a lot of data manipulation with pandas.
By Piyas C
•Aug 12, 2020
The course will be difficult who doesn't have sound knowledge about the library and functions of python3. It would be better to start this course after completing the course 'Python3'.
By Salah E H
•Apr 18, 2020
Excellent course, with good material & explanations by the staff. However, giving more guidance on what is expected from each answer could save us some time while doing the assignments
By Graydon S
•Sep 22, 2019
Overall quite good, but the auto-graded assignment can lead to a lot of time spent less on comprehension and more nit-picky details (more than the R-based data science specialization).
By Henri
•Feb 5, 2019
Great course requiring a lot of dedication. However, got issues with the auto grader that made me loose a lot of time unfortunately. Good tips to resolve issues from discussion forums.
By Idemudia C U
•Oct 5, 2019
The course takes one through essential steps for data science introduction but i feel the assignments look to technical for an introduction and the autograder creates alot of tension.
By Babu R
•Apr 17, 2019
The course is based on getting hands on experience of pandas package and some hypothesis testing. be sure to learn basics of pandas and hypothesis testing before enrolling the course.
By Puskar B
•Mar 9, 2019
The course materials, videos are great! I am giving 4 stars just because some of the questions of the assignments are confusion. It takes a very long time just to understand question.
By Eric M
•Jun 29, 2017
Excellent, if frustrating introduction to data science in python. There was a large learning curve with Coursera and using python, but it was well worth it and I learned a great deal.
By Michael P
•Feb 17, 2019
A good course overall, except for some ambiguous question descriptions in the assignments which makes you guess what the real requirement is by submitting your answer multiple times.
By SYED M H S
•Dec 7, 2022
amazing course!! i was a beginner and learnt a lot over here. The only problem i got occcured was during regex functions and week 4 in hypothesis part. Apart from that it is amazing
By Meghna A
•Jun 24, 2020
i really want to say a big thanks to the whole team who designed this course .
i have been really into learning about data structures and python and this has been a boon in disguise.
By Andrea C
•Dec 28, 2019
This course covers pretty much the basic concepts of data science, as well as some python programming.
Tests requests might might sound a bit confusing, but overall is a good course.
By Aneesh J
•Nov 1, 2018
A lot of learning through Assignments, best course for those who can work hard to learn something. Also it teaches you how to apply bottom down approach in life to learn a new thing
By Mohammed H
•Aug 2, 2017
Loads of material and can be challenging for beginners (not being smug, i am one and it was for me). Still learned a lot and would recommend if you are willing to put in the effort.
By Aratrika R
•Aug 11, 2020
The course was informative and helped me to a certain level, but I couldn't help but feel that it could have been a little more detailed. But it was still helpful and interesting.
By Sachin R G
•May 25, 2020
You must have to add key important reference in this course so that students get easily access to only those material which is really needed in this life of data science programing
By Garima M
•May 10, 2020
Course is good. But, pandas version is old in Jupyter notebook, difficulty increase exponentially and 1 question in assignment 4 has either wrong instructions or question is wrong.
By Shekhar G
•Feb 3, 2019
for testing question, if some test cases are provided i believe that could be very helpful saving time.
Otherwise course is very good especially the assignments and project.
Thanks!!
By Himal D
•Feb 15, 2018
The questions in assignment 4 can be a little more explanatory. Apart from that the course is very well structured and the assignments are excellent for learning and experimenting.
By Michael M
•Dec 20, 2021
This course has helped to shape my understanding of Data Science. I'll always recommend this course to my colleagues. Thumbs up to the facilitators and entire Coursera Team. Kudos
By Shiomar S C
•Sep 23, 2019
The course is really good the material is a little heavy and need a lot of work for the assigmentes.
Some lack of help dduring the assigments and the practice tools are not working
By Martin G
•Feb 18, 2019
Very good course. Pretty fast pace, so definitely needed to google/read a bit on the side. The exercises push you really think, though I had a some problems with the auto-grader..
By Ayush R
•Mar 30, 2018
Concepts explained are basic , and questions requires in-depth knowledge which makes practice test hard to pass.
This is my first MOOC, took me a bit longer to understand things.