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學生對 宾夕法尼亚大学 提供的 Data Analysis Using Python 的評價和反饋

200 個評分
50 條評論


This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization....




this course was perfect for me, I learned alot from it.\n\nI want to thank Jahnavi Chowdary quck reply and you helping me through out, you also deserve five stars



Understandable for beginners. But some questions in the tests are not clear. Even I get the same results, the answers are still not be passed.


26 - Data Analysis Using Python 的 50 個評論(共 55 個)

創建者 JAN O J


this was very useful and well prepared course. Thanks a lot

創建者 Alexander P


Practice makes perfect, and this course is truly practical

創建者 Eric C


T​his course has elevated my python data analysis skills

創建者 Rajsingh R


Fantastic and Practical, very useful and handy.

創建者 Kagiso K D


Great content and stimulating assessments

創建者 Kudalkar D A


Very very nice course for beginners.

創建者 Jiahao H


it helps me improve a lot!!!

創建者 Masahisa W


C​rystal clear for begineers

創建者 Calvin K L Y


nice hands on course

創建者 Mech_A067_Digant P D


really great course

創建者 Gaurav P


amazing content,

創建者 Wael E K


well organized.

創建者 J H


On one hand this is a really good course and the slides are excellent and enough to teach you all you will need to know. However, the assignments are not always clear about what you should do and you may find that having the right columns in the wrong order is enough to mark you wrong. This being said, if you look at the output from the errors it will give you an indication of exactly why the test failed and what the test was actually looking for.

創建者 Donna G


I learned a lot in this course. I enjoyed the homework/assessments. I do wish the assessment questions were worded a little more clearly for those of us who overthink. I found that my mistakes were often in misunderstanding what was wanted.

I found a lot of answers combing the discussion forums, but I also did a lot of outside research. YouTube helped a lot to get pandas down. Overall, I feel like it was well worth the time and effort.

創建者 David T


It was a good class. The assignments are fairly straightforward and the videos are bite-sized so you don't have to sift through hours upon hours of video. As for improvement, I think it's more an issue with Coursera itself rather than the instructor or UPenn, but I sometimes feel like it's hard to know how much I've retained from the class.

創建者 Luke H


I'd like for this to be a little more in-depth. I had fun with the data visualisations. However, probably more of manipulating the data would be good.

創建者 Anne L


Very informative course. However lessons feel more like telling than teaching. The lecturer could go more in depth.

創建者 Alejandro M


Videos touching same theme were too short (26 sec, 1 min, etc.) and disruptive. Wish there could be more practices.

創建者 Akash K


course is overall good but face some problem in understanding of homework questions, proper explanation is needed

創建者 Daniel P


The issure of learning the difference between dataframe and series needs to be a bit more clear in my opinion.

創建者 Farshad S


it would be better if sections were covered more of panda and matplotlib and even seaborn

創建者 Mehta A J


the data summarization part was rushed through, apart from it, the course is very good

創建者 Akshat J


Great Course! Would have liked to go even more in depth

創建者 Moturu N S


Very good introduction to data analysis using python

創建者 Daniel P


Short but very informative course. I like it!