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學生對 IBM 技能网络 提供的 使用 Python 进行数据分析 的評價和反饋

15,304 個評分


Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....




I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.



perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.


1876 - 使用 Python 进行数据分析 的 1900 個評論(共 2,314 個)

創建者 Shrinidhi S


My assignments with the correct answers were only given partial marks.Pls do the need for the same.

創建者 Daniel O V


I think it should have a higher level of difficulty, not so much more difficult but a little more.

創建者 Fab T


Great! Still thinking in go back to review the details that maybe I missed.. But excellent course.

創建者 Abdullah T A


The stuff in week 5 confused me a lot. but other than that it was great. especially lab sessions

創建者 Reinhard H J


I learned some new things, but I think more attention should be given to the theoretical aspects.

創建者 Nur C N


Too much information in one course, it's good but need to be put more example to make it clearer.

創建者 Adrian A


Good background knowledge.

Assignment did not have a model answer script provided for peer review

創建者 Umesh S


may be a course or module on statistics may be more helpful to get better insight of this course

創建者 Fahad R


Very comprehensive course but it would be great to add some more material from basic statistics.

創建者 Sajal J


Good for learning basics of data analysis using simplest explanation methods .HIGHLY RECOMMENDED

創建者 Adam A


Peer Review Assignmnet is flawed - not all students assess properly and give incorrect marks.

創建者 Letshabo M


This course has given me a good start up to analysing with python. Thank you IBM and Cousera.

創建者 Puneet K U


Very well structured course, but it felt a bit easy. You can make it a bit more challenging!

創建者 Manal C


Very condensed, and requires additional research for those without a programming background

創建者 shaikh s


i think its a better way to learn python and will be eligible for job in any organization.

創建者 Abdullah h


this course is so great but the last 2 section (week 4 and 5 needs some more explanation

創建者 Sanskriti T


This course is great!!! I loved it and provides better understanding of data analytics

創建者 Munir N


Again very good designed by IBM and Coursera. It was a bit tough but good for learning

創建者 Rubén G


Please include more examples in the laboratories, for a better interpretation.


創建者 E. R " A


An extraordinary well-designed course with excellent courseware and tests. A triumph!

創建者 Sven B


Good quality, a little bit is missing the background explanation for some techniques.



i think you it's better to make the question of the exam harder with add extra steps

創建者 Will S


The labs weren't available for a period of time, but the information is very useful!

創建者 Lawrence F


Covers a bunch of useful stuff pretty fast. That may prove a problem in the future.

創建者 Md. S R


Some syntax is wrong. However, more explanation is required for proper explanation!