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學生對 IBM 提供的 使用 Python 进行数据分析 的評價和反饋

14,229 個評分
2,109 條評論


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....



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.


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.


2076 - 使用 Python 进行数据分析 的 2100 個評論(共 2,102 個)

創建者 Sahar A


i​t was too fast and I didn't understand a lot of things

創建者 Jen E


So many problems with the lessons and the final project.

創建者 Rasmi D


very high level... topics not covered in depth

創建者 Q B M


some commands are not fully explained.

創建者 Andrea


I can't believe this course has an average of 4.5 stars. I think they're fake reviews.

They state that no previous knowledge is needed and yet the topics are complex and not explained during the course. They give you information without any introduction on them, giving for granted that you know that information.

There's a lab to exercise that is full of bugs.

If you want to learn Data Analysis with Python and you don't have any previous knowledge of Python, Statistics and Econometrics, stay away from this course.

Probably if you have a firm knowledge of the above subjects it can be useful.

I think people rated it with high score, because it's easy to get the certificate, not because is useful in terms of learning the subject.

創建者 Srikantha R


Definitely NOT for beginners. No proper explanation of basic concepts. The instructor assumes that all students knows everything and they just explaining python formulas without giving basic concepts on data analysis or statistics. If one has to complete this course only for the sake of certification, one must get the basics right with free online materials and then only can enroll for this so called 'BEGINNER' course to get certificate. I am cancelling my subscription and can learn on my own with free and better online materials

創建者 Paola d C


The submission of the final assignment of this course is very poorly designed and explained, it wasted over 1 hour of my time. Furthermore, completion of the course CANNOT be linked to reviewing other people coursework and course completion delayed for over 1 month, because you allow to choose this course as part of my company required training that must be completed by a certain deadline. I completed the course today, but it will not record as completed until AFTER the deadline.

This is unacceptable in a professional world.

創建者 Diogenes C


Once again, the course forces you to use IBM Cloud, a service which on its free version is completely unreliable.

If you want to learn python, I suggest any other resource on the internet, in which you will spend your time learning to code, instead of dealing with the problems of using IBM Watson Studio. Or if you're looking to validate your knowledge, I also suggest looking for any other course, and not IBM's.

創建者 Hu W J


0 effort put. could not even bother to get someone to talk to a screen. lessons were robotic, i might as well have just read a book on this and could probably understand better. disappointing.

創建者 Prem K G


Longest course and the most boring one. The quizes have some problem even the correct ans are corrected and incorrect . The questions seem to change change their mind on the answers!!!

創建者 Antonio A


This course isn´t offering value, every automata can follow this course and pass it. I´m looking courses which can help me improve my professional skills.

創建者 Louise B


Typos and mistakes in the quizz, phrasing of questions is misleading. Meant for beginners but with all mistakes hard to learn the right way.

創建者 Dennis B


Honestly, the labs were impossible to load and everyone is asking for help on the forums whilst staff copy/pastes the same useless answers.

創建者 Ali A


Too shallow course material. It just call libraries and functions without describing why.



This course is not descriptive in nature and just has been surfaced on the topics.

創建者 Jianfei Z


No systematic teaching. Only pick a few pebbles and assume you can build a palace.

創建者 James


Shambolically organised, an overt plug for IBM's barely functional cloud systems

創建者 Steve L K A


Hardly challenging. No programming practice and all MCQs.. unstimulating.

創建者 Paolo F


Salta dei pezzi. Spiega troppo veloce e non ti lascia vedere le slide

創建者 Ласковый А А


The course is interesting, but those who check are inattentive

創建者 Krishna S


Worst mooc I ever taken, they just advertise about IBM

創建者 Jinling C


so confused and several errors , pls correct them

創建者 Kenneth H


I would like to give it a 0 but it won't let me

創建者 Michael R


No support from moderators, plenty of typos.

創建者 Dmytro F


W​aste of time