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学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

14,068 个评分
2,090 条评论


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....


May 5, 2020

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.

Apr 19, 2019

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.


1751 - 使用 Python 进行数据分析 的 1775 个评论(共 2,083 个)

创建者 Brijesh O

May 6, 2020

Final assignment could be better thought out. very simple.

创建者 Rahul S

Jul 18, 2019

Very Helpful course..and very good contents..learnt alot..

创建者 Narayanaswamy N

May 25, 2019

First go for module 8 - Machine Learning and come to this.

创建者 Ajay M

Mar 7, 2020

The Non-Graded Online Assignment need more practice cases

创建者 Filiberto H

Jan 17, 2020

Very difficult if you don't have some statistics bases

创建者 Serena R T

Nov 22, 2019

A tough course yet interesting. Like the lab exercises

创建者 Ran D

Jan 4, 2019

The question jumped up in the video is quite annoying.

创建者 John A

Jul 20, 2021

​Quite disappointed with the material in the course.

创建者 Umasankar M

Aug 1, 2020

Need more model development examples will be helpful

创建者 Themba M

Jun 11, 2020

Explanation of lab steps has a room for improvement.

创建者 Andres E S G

Jan 11, 2020

It could have a little more theory about statistics.

创建者 Adesua A D

Nov 4, 2019

My first course on coursera and its very informative

创建者 Alexandru S

Jun 3, 2019

A lot of information, it is at times hard to follow.

创建者 Boru R

Sep 6, 2020

good course, but final assignment is way too simple

创建者 siu t

Jul 19, 2020

Week 4 was too hard, while other modules were okay.

创建者 Pham T S

Jun 13, 2020

Very good course for learning about buidling models

创建者 Neelam S

Jan 3, 2020

Examples should contain more codes used frequently.

创建者 ZJ Y

Oct 1, 2019

it might need updating according to the new version

创建者 Eirini K

May 20, 2020

Quite good to begin with, but not going in depth.

创建者 Selina Z

Sep 26, 2019

Good resource to have a knowledge of pandas, etc.

创建者 Deepratna A

Jun 24, 2019

Time and topic depth are not proportional at all.

创建者 Patricia W

Aug 23, 2020

I thought it should be a little more assistance.

创建者 khaled C

Apr 22, 2020

There are some little mistakes in the notebooks.

创建者 Malege T M

Aug 26, 2019

A thoroughly impactful and well presented course

创建者 Sachin M

Jun 29, 2021

Need more details other-wise very good course.