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.
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
創建者 Baochun L•
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.
創建者 Shawn M•
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.
創建者 Waqar A C•
It's been a phenomenal course. Highly recommended for new comers. Instructor teaching style was marvelous . Professionalism was there. Moreover course demand reasonable analytic and programming skills to do it properly quickly with proper understanding. Learnt alot of new ways of data manupulation which i have not done before. Thank You Coursera Team for making it possible
創建者 Martin W•
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.
創建者 Javier A B T•
Tiene cierto grado de dificultad el curso sobre todo para principiantes como fue en mi caso pero con la ayuda de los foros, repasando los videos y haciendo labor de investigación por cuenta propia y sobretodo con ayuda de Dios pude aprobar el curso y me siento muy contento y orgulloso por el logro obtenido pues el esfuerzo, tiempo y dinero invertido fue considerable.
創建者 Linda B•
This was a great course to learn Pandas and to feel capable of manipulating data in a Pandas Dataframe. The class was laid out very well with quality instruction and good examples in the jupyter notebook. The homeworks are where I learned the most as I really had to understand the material to complete them. I'm looking forward to the next class in the certificate.
創建者 Julian O•
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.
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.
創建者 Shou-Chung W•
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!
創建者 Maitree R•
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.
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
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.
創建者 Dinesh V•
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.
創建者 Pedro B•
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.
創建者 Brandon V•
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.
創建者 Akash R•
this course is ultimate and it really gives us knowledge and confidence because after passing this course I have completed another course related pandas, and that was very easy going for me.thanks to Coursera and Christopher brooks,I always prefer the University of Michigan courses because their teacher teaches in such a way that u will feel more confident
創建者 Armel A•
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.
創建者 Alessandro D A•
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.
創建者 Kaustubh J•
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.
創建者 Daniel N•
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
創建者 Mihir G•
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.
創建者 Phonkrit B•
The course was very difficult at the start even though I have completed the course on 'Programming for everybody'. I felt that the content was a bit rushed and was not entirely related to the problem sets. But, I learned the most by searching for solutions on Stackoverflow. It is a difficult course to teach, and I felt that the problem sets were great.
創建者 Ekta T•
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.
創建者 Lucas N S D•
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!
創建者 Keyla B•
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.