Mar 16, 2018
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
Dec 10, 2017
Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!
por Abhilash V•
Dec 24, 2016
A great practical course.This course will make you think and search a lot on stackoverflow,which is good because a lot can be learned by doing it ourselves.Then why this course because we need to know what to look for and this course gives us the basics and we will be able to do the assignments by ourselves .Its not really tough but will need some time to get all the answers correct.
Jun 17, 2017
Well, this course is quite good. It's obvious that the staff put a lot of effort into the course. They answered students' questions and solved problems which helped a lot. I learned basic programming skills of Python and the usage of library of Pandas. The professor gave the outline of what you need to do and the most of the work is done by yourself. Very happy to take this course!
por Mgle A•
Feb 27, 2020
Great course! The lectures explain topics very well. The assignments were challenging - you might want to do a beginners Python course before enrolling into this course. I liked that assignments were focused on independent learning where you had to go online and look for the answers yourself. I believe this form of learning is the most efficient one. Great course, highly recommend!
por alex s•
May 24, 2017
A very clear introduction to using Pandas for handling data. The integration of Jupyter Notebooks in both the assignments and the in-lecture pop-ups was very effective. I also appreciated the balance of covering most of the material in lectures, but leaving you to track down some things for the assignments. I can only hope the next courses in this progression are this well done.
por Drew L•
Jan 19, 2017
I'm an experienced data analytics professional re-skilling after being laid off. I really enjoyed this course. Professor Brooks' lectures were engaging and clear. I found the assignments to be great practice, although they were challenging for my level of programming experience.
I strongly recommend having some skill with python, particularly pandas, prior to taking this course.
por Baochun L•
Jul 03, 2017
After studying the course of Andrew on Machine Learning, I want to study a course , which focus on python. I once chose the Machine Learning Specification , but the course use the non open source python packages. And I tried this course. I used about 4 days to finish the 4 weeks, and get myself familiar with pandas though I have no experience on python and pandas programming.
por Shawn M•
Aug 25, 2018
Great overview of Pandas and ETL using Pandas and Python.
Assignments and final project were challenging and realistic in terms of how you might use Pandas and Python in real world situations.
The auto-grading of projects can be annoying with error messages that aren't clear or accurate. If you aren't clear why an answer isn't accepted, then don't hesitate to search the forum.
por Martin W•
Jul 27, 2017
Excellent course with rich mixture of course material from useful video lectures, quizzes, links to published papers and supporting websites, book references, discussion forum and of course the interactive online assignments. I appreciated the course submission process and the ability to check and re-submit assignments. Cant wait to start the next course in the series.
por Julian O•
Apr 16, 2018
Requires a tremendous amount of self-study and trial and error if you're starting from ground zero in terms of pandas knowledge, but the reward is a level of comfort and facility with pandas dataframe manipulation. Definitely a learning by doing experience. Cleaning datasets and manipulating dataframes turns out to be pretty fun once you start getting the hang of it.
por Niccolo A H•
Aug 31, 2018
The course is challenging for a newcomer to Python. The instructors rely on the student's self-learning to fill in the gaps needed to solve the course assignments. It's been a great way, albeit a little stressful, way to learn. The course also does an excellent job of keeping the student grounded as to implement a high ethical standard when practicing data science.
por Shou-Chung W•
Jul 06, 2018
This assignments of this course is most useful to solidify your knowledge, and ability to self-study. When in doubt, use Forum, as many students past and present have all shared your frustration and most of all everyone's learning experience, which make this course a great one! Thanks to all instructors, teaching staffs, and fellow students, you guys are wonderful!
por Maitree R•
Jun 09, 2018
It's a nice course for Beginners in Python Programming and who have interest in Data Science. It requires a little dedication and lots of programming. The Discussion Forum is amazing it has everything and special thanks to the Mentors Sophie and Yusuf during the assignments. It requires lots of self-learning and a little research for every programming assignment.
Aug 03, 2017
Python is huge. Course helps you focus and apply Python to data science.
Me? was new to Python; was novice at programming; had strong background in math and business (both helpful, but not prerequisite); read "Python for Data Analysis" by Wes Mckinney to supplement lack of programming experience -- focused on numpy and pandas chapters; frequented stack overflow
Nov 17, 2019
The gains from completing the assignment itself are very large, although this process is very challenging for me who are not familiar with the Python language. Thanks for the help of the teaching assistant. It is recommended that everyone participate in the discussion while studying the course and learn the contents of the discussion. It will be very rewarding.
por Dinesh V•
May 03, 2017
Excellent introductory course for data analysis in Python, specifically using Pandas library.
I learnt a lot in a short time. Assignments are not easy to solve, they make you think hard, explore more on internet and on user forums, thus making you grasp the topics in depth. This is the best starter course for anyone seeking a career in Data Science using Python.
por Pedro B•
Mar 24, 2019
Although I have been studying and performing data analysis as a beginner this course totally worth the time and effort put on it. Learning to clean code and use Python properly to perform efficient data analysis was quite satisfactory for me. A side dish that I loved was the relevant questions brought for the student to reflect on about ethics in Data Science.
por Brandon V•
Feb 09, 2019
Excellent for anybody who has to manage large amounts of data on a daily basis. I'll admit that the first week I thought, "Whatever, I can do all of this in Excel." Once I got the hang of it, I realized the potential of this material is unmatched, and I started using Python/pandas/NumPy at our machine learning lab to help us with data acquisition and sorting.
por Armel A•
Jun 15, 2017
This course helped me going deeper in the python language, especially for datascience. I learned a lot on two wonderful python librairies : numpy and pandas. The assignments were more complicated than expected but with the help of staff members and classmates I did it. A special thank to Sophie Greene whose intensive comments on the forum were very helpful.
por Alessandro D A•
Mar 07, 2017
Great intro to data science and some of Python libraries for it.
The exercises can be quite difficult, especially if you expect to have all the answers given to you during the lessons. In order to solve some of them you have to search the web to find the commands you need, which I think is a good thing because it teaches an approach useful in real scenarios.
por Kaustubh J•
Jan 23, 2017
a little more help from the video lectures is expected. The assignments required a lot of self study which is great but at the beginning, every assignment looks daunting and discourages a little. Although the forums helped a lot in getting through this course, but the majority of the roadmap to take, and all other lessons should be included in the videos.
por Daniel N•
Mar 04, 2017
Great course!! I've enjoyed the assignments very much - from my part it required a a lot of individual investigation / reading through posts to find possible solutions but that's only fair since this is an intermediate course. It was a fantastic experience as the assignments felt like real projects. Thanks for everyone making this course possible! Daniel
Dec 26, 2016
Very comprehensive in terms of the amount of material covered and the content covered in the material. Covers a lot of model building algorithms in addition to machine learning fundamentals. Has an intuition lecture in addition to the fundamentals which helps a lot! A possible change could be to use R to demonstrate the concepts instead of Matlab/Octave.
por Ekta T•
Aug 29, 2018
This course has proven to be really helpful to me. I was able to learn additional techniques and ways to use the same libraries. It helped in building core concepts and relate the statistics part to the analysis in python. The complexity level of assignments is pretty good, they challenge you and require a overall knowledge. I will highly recommend it.
por Lucas N S D•
Mar 11, 2018
The course explores different ways to clear data using pandas. The assignments are challenging, since it is impossible to get to the solutions without going through lots of stackoverflow questions. The course also raises questions regarding the future of data and the problems behind the extensive use of pvalues, the p-hacking problem. Very interesting!
por Keyla B•
Sep 23, 2019
This course requires a lot of extra research using the Pandas' documentation and Stack Overflow in order to past the tests, which are very well designed to gained the most important skills. At first I felt this course was very demanding but as I moved forward to the second and third course of the specialization, I realized how much I learned from it.