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Data Analysis Using Python(으)로 돌아가기

펜실베이니아 대학교의 Data Analysis Using Python 학습자 리뷰 및 피드백

4.6
별점
207개의 평가
51개의 리뷰

강좌 소개

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....

최상위 리뷰

JA

2021년 9월 6일

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

2022년 1월 7일

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

필터링 기준:

Data Analysis Using Python의 56개 리뷰 중 51~56

교육 기관: Viktorija L

2022년 6월 14일

​Very useful coure

교육 기관: Vivian H

2020년 12월 31일

meh

교육 기관: Indrahdhevi

2021년 10월 4일

Not ideal for people w/o data science background

교육 기관: Laura M

2021년 4월 21일

Videos and resources were really helpful. But the HW assignments are written poorly. They include typos/ambiguities that force you to spend a lot of time trying to figure out what instructions mean vs actually learning how to code. Little things like writing "less than" when the coder really needs to use "less than or equal to" amount to time wasted that is not spent learning to code. That being said, the TA's for the course are very helpful and have answered most of the questions in the Discussions. But they should probably go back and fix the typos and inconsistencies in the wording of the homework assignments.

교육 기관: sai n k 1

2021년 8월 2일

The videos are not intresting due to the instructor ig

교육 기관: David M

2022년 3월 6일

If you are looking for more furstration than useful knowledge, this is the course for you. If you want to suffer using jupyter notebook, this is for you. I am sure there are better courses than this out there for learning useful python programming.