YH
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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.
PB
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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science
By Agam j
•Jul 28, 2020
one of the very informative and precise course and the assignments are also very good. really made me hustle to solve them.
By Amina B
•Jul 12, 2020
Very usefull and full of significant discoveries course! Recommended for the beginners such as I was without this course:)
By EEGA K C
•Apr 21, 2020
The course is really good learnt a lot things while involved in solving assignments,
liked the lectures of brooks immensely.
By Dhananjai S
•Jan 13, 2019
Excellent course and to the point explanation. Although i believe video Lectures can be more fun. hank you for the course.
By Alok K
•Nov 25, 2018
Excellent Course!! This course gives you understanding about data manipulation using pandas and other libraries in python.
By Georgios G
•Feb 11, 2018
Fantastic introductory course for Data Science beginners. The exercises helped me get hands-on experinece on real datasets.
By Thomas P
•May 9, 2017
Great introduction to the basics of the pandas library with plenty of opportunity for self-driven learning and exploration.
By Huy H M
•Aug 5, 2020
This course helps me to see the first sight of data science. It is very useful for my career path in the future. Thanks :)
By Emre P
•May 27, 2020
Amazing course with high quality content. However I need to mention that I experienced many problems with the auto-grader.
By Ava Z
•Sep 11, 2018
Really good course, especially the assignment. they're all real world data, very useful skills I learned from this course.
By Suyash D
•Aug 21, 2018
Awesome course!! First ever course that pushes you beyond your limits and provides a real-world data wrangling experience.
By Juan D
•Sep 5, 2017
Excellent course! Assignments help me to understand how to manipulate data in csv, txt and xls file into pandas dataframe.
By Chris R
•Sep 1, 2017
The assignments definitely challenge you and upon course completion I felt confident that I could demonstrate a new skill.
By Melissa P
•Jan 5, 2017
A pretty challenging course! I learned a lot and would recommend to anyone interested in advanced python and data science.
By Mike S
•Oct 27, 2016
Very good design and teaching for a intermediate level learning course! Easy to learn with practice with Jupyter notebook.
By emre p
•Apr 24, 2021
assignments were hard to understand for me, as well as hard to solve. overall an excellent courses. 8/10 would recommend.
By MOHD S
•Nov 27, 2019
Thank you coursera for providing this course to me . I am really happy that learning something best course for my career.
By Vigeen D
•Nov 20, 2018
The assignments are much tougher and exhaustive than the tutorials. It actually helps the student explore python language
By Renier B
•Aug 1, 2017
really practical course, with great assignments that really test your understanding of how to use pandas to process data.
By Tom F H
•Feb 2, 2017
I have struggled a lot during this course to complete the assignments. It is hard, it is well taught and you learn a lot!
By Milco N
•May 3, 2023
Interesting course - it could even have been better if there had been any shareable slides for the learners to download.
By Buckley O
•Oct 25, 2020
One of the best Data Science courses I have taken. Assignments were challenging and provided good learning experiences.
By Tatiana V
•Jul 3, 2020
I loved the course, it is not easy, it requires work, but the results are very satisfactory. Really thank you very much.
By Shyam K S
•Jul 22, 2019
It is really good course if anybody wants to mastery on Python, many of complex scenario covered as part of this course.
By Jonathan L M
•Apr 29, 2017
This course is excellent for newbies in learning data science. It gives a comprehensive description about data science .