Chevron Left
返回到 使用 Python 进行数据分析

学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

4.7
星
13,859 个评分
•
2,048 条评论

课程概述

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....

热门审阅

RP
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.

SC
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.

筛选依据：

1776 - 使用 Python 进行数据分析 的 1800 个评论（共 2,050 个）

创建者 A A

•
Jul 22, 2018

Where good to start for beginner

创建者 Sripriya D

•
Jul 19, 2020

it felt very dry for some parts

创建者 Jignesh P

•
May 12, 2020

Great Learning from this course

创建者 Joseph S

•
May 3, 2020

Modules 4 & 5 need more detail.

创建者 Shamik K

•
Dec 27, 2020

Diff course but well planned !

创建者 Trang N D N

•
Feb 28, 2020

there are some bugs in the lab

创建者 Igor G

•
Jun 5, 2019

No linter was used by authors.

创建者 JAWALGEKAR S S

•
Feb 20, 2020

it was worst experiance !!!!!

创建者 VIGNESHKUMAR R

•
Dec 22, 2019

Good but need to improve labs

创建者 Sakthivadivelan

•
Jul 15, 2020

labs can be more explanatory

创建者 Tyler X

•
May 8, 2019

It's a little hard to learn.

创建者 A A A

•
Apr 13, 2020

Fantastic coding experience

创建者 Eslam G M I

•
Feb 2, 2019

This course taught me a lot

创建者 Rhytham D

•
Apr 7, 2021

It is a good crash course

创建者 Nina W

•
Jul 22, 2019

课程的视频部分讲的比较简单，阅读材料值得认真完成。

创建者 Chandrakanth R

•
May 8, 2019

Complex topic simplified

创建者 ZOUZOU K F R

•
Mar 18, 2021

tres ravi de terminer

创建者 lalitha_sri

•
Jul 11, 2020

it was very helpful.

创建者 Joshua T

•
Jul 28, 2019

Final test had bugs.

创建者 mahesh C

•
Apr 13, 2020

can go more deeper

创建者 Darshak S

•
Jan 28, 2020

very useful course

创建者 Chimi C

•
May 16, 2019

was really nice

创建者 Luis A A Y

•
Jun 15, 2020

Great Course !

创建者 Ruppa S S

•
May 14, 2020

Great course!

创建者 Jitendra K

•
Dec 29, 2019

Best course .

Coursera Footer

开拓职业生涯或促进职业发展

浏览热门主题

提升团队技能

在线获得学位或证书

Coursera

社区

更多

随时随地学习
通过 App Store 下载通过 Google Play 获取
Placeholder