课程概述
热门审阅
JA
Sep 6, 2021
Good course, it gives you the basic info to pandas, numpy and matplotlib. It teaches you how to obtain dataframes, join, filter, group, summarize and visualize data. Short course but really worth it.
FM
Jan 7, 2022
this course was perfect for me, I learned alot from it.
I want to thank Jahnavi Chowdary quck reply and you helping me through out, you also deserve five stars
26 - Data Analysis Using Python 的 50 个评论（共 60 个）
创建者 Gourish K
•Mar 27, 2021
Good introductory course. Brandon Krakowsky explained all the concepts clearly.
创建者 Marjorie H
•Apr 15, 2021
A great course to learn data analysis and visualization using Python
创建者 Joan O
•May 4, 2021
this was very useful and well prepared course. Thanks a lot
创建者 Alexander P
•Feb 11, 2021
Practice makes perfect, and this course is truly practical
创建者 Eric C
•Dec 26, 2021
This course has elevated my python data analysis skills
创建者 Rajsingh R
•Nov 25, 2021
Fantastic and Practical, very useful and handy.
创建者 Kagiso K D
•Jul 22, 2021
Great content and stimulating assessments
创建者 Luis E B
•Jul 11, 2022
Great introduction to Data Analysis!
创建者 Kudalkar D A
•Feb 27, 2022
Very very nice course for beginners.
创建者 Jiahao H
•Sep 13, 2021
it helps me improve a lot!!!
创建者 Masahisa W
•Jun 29, 2021
Crystal clear for begineers
创建者 Calvin K L Y
•Jan 9, 2022
nice hands on course
创建者 Mech_A067_Digant P D
•Aug 2, 2021
really great course
创建者 Miho S
•Jul 14, 2022
It was really fun
创建者 Gaurav P
•Aug 14, 2021
amazing content,
创建者 Wael E K
•Jul 24, 2021
well organized.
创建者 J H
•Jul 16, 2021
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.
创建者 Donna G
•May 5, 2022
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.
创建者 David T
•Jun 17, 2021
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.
创建者 Luke H
•May 24, 2021
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.
创建者 Anne L
•Mar 25, 2021
Very informative course. However lessons feel more like telling than teaching. The lecturer could go more in depth.
创建者 Alejandro M
•Feb 8, 2021
Videos touching same theme were too short (26 sec, 1 min, etc.) and disruptive. Wish there could be more practices.
创建者 Akash K
•Apr 13, 2021
course is overall good but face some problem in understanding of homework questions, proper explanation is needed
创建者 Daniel P
•Feb 18, 2022
The issure of learning the difference between dataframe and series needs to be a bit more clear in my opinion.
创建者 Farshad S
•Jul 30, 2021
it would be better if sections were covered more of panda and matplotlib and even seaborn
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