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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

15,298 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....




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.


2176 - 使用 Python 进行数据分析 的 2200 個評論(共 2,313 個)

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 Rodolfo R


T​his course focus on very important subjects but in a sketchy aproach

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

創建者 Alejandro A S


Experimented a lot of problems to complete the assignment

創建者 Troy S


Quizzes are too easy. Don't even need to watch the videos

創建者 Anurag P


Mostly theoretical; very little to implement on our own.

創建者 Pulkit D


Please update and explain Rigid Regression a little more

創建者 Appa R M


The kernal is stuck for some questions and its annoying

創建者 Qing L


Kurs gut organisiert aber

die Fragen sehr oberflächlich

創建者 Jakubina K


It would be more useful if labs were be rated as well.

創建者 Ankit K S


It would be nice if the course had more assignments.

創建者 Bhanu S


It was difficult to retain the knowledge imparted.