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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

14,447 個評分
2,143 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....



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.


2001 - 使用 Python 进行数据分析 的 2025 個評論(共 2,138 個)

創建者 Xinyi W


Superfacial level of Python while being not very through on the data analysis methods.

創建者 Ana C


To short

Goes to fast in some aspects, the theory is completely missing in this course

創建者 Sathiya P


Nicely thought, but I felt concepts like Decision trees, Random forest were missing

創建者 Rosana R


The course is too long. The material should be divided and explained more detailed.

創建者 Amanda A


There were many typos in the labs which made it difficult to understand at points.

創建者 Juan S A G


very simple exercises which does not help to learn altough videos were exeptional

創建者 Mohsen R


The course does not explain the processes enough, there should be more examples.

創建者 Maciej L


Too many complicated things happening at once. It is hard to digest and follow.

創建者 Tomasz S


Few small hiccups with the training videos and quite a few in the lab-excercise

創建者 Steven B


Overall I felt it was not broken down very well and seemed confusing at time.

創建者 Pierre-Antoine M


Videos are nice but they are mistakes in the notebooks that disturbs learning

創建者 Toan N


The lab is disconnected every so often that can't complete it smoothly.

創建者 Jessica B


Good content, but lots of typos. The outsourcing is extremely evident.

創建者 Arjun S C


Lots of bugs and errors. No instructors reply on the discussion forum.

創建者 Anvit S


Could have been more detailed....Important concepts just brushed thru

創建者 Holly R


Could use some better mathematical description of the techniques.

創建者 Filippo M


Useful course, but the IBM online platforms are not working well.

創建者 Robert P


Some concepts were quite confusing and not that well explained.

創建者 Atharva Y


As compared to other courses this course seems to be too fast

創建者 Nirav


Lot's of errors in this course, please update and correct it.

創建者 Anmol P


Course could have been more elaborate in depth and scenarios

創建者 Tichaona M


This is a great course for building the base to use Python!

創建者 林tanya


the lab is extremely useful, however, videos are too short

創建者 Michael A D R


Extremely interesting BUT it gets long and hard to follow.

創建者 Nihal N


not in depth.... needs more clarity on a variety of topics