How is this Python analysis workflow different from doing separate analysis steps manually?

A workflow connects preparation, measure selection, merging, and visualization so each step supports the next one. Separate manual steps can still produce results, but they make it harder to keep the analysis consistent and easy to follow.

Do you need any prerequisites before learning this kind of analysis in Python?

A basic understanding of Python and tabular data is helpful for this intermediate project. What matters most is being comfortable following code that cleans, combines, and visualizes data.

What tools, platforms, or methods are used in this course?

The course uses Python, with pandas for data preparation and seaborn for visualization. It also centers on selecting a useful analysis measure and examining relationships after datasets are combined.

What specific tasks will you practice or complete in this course?

You practice preparing tabular data, selecting a measure for analysis, combining sources, exploring relationships, and visualizing results. Those tasks show how to turn raw data into a readable, connected analysis in Python.

COVID19 Data Analysis Using Python

位教师：Ahmad Varasteh

33,988 人已注册

包含在中

了解更多

指导项目

在专家的指导下，学习、练习并应用工作就绪技能

4.5

（1,969 条评论）

中级等级

推荐体验

100 Minutes

自行安排学习进度

实践学习

了解更多

指导项目

在专家的指导下，学习、练习并应用工作就绪技能

4.5

（1,969 条评论）

中级等级

推荐体验

100 Minutes

自行安排学习进度

实践学习

了解更多

您将学到什么

Learn the steps, needed to be taken to prepare your data sources for an analysis
Learn how to look at your data to find a good measure to stablish your analysis based upon
Learn to visualize the result of your analysis

您将练习的技能

您将使用的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

无需下载或安装

仅桌面可用

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

在 2 小时内学习、练习并应用岗位必备技能

接受行业专家的培训
获得解决实训工作任务的实践经验
使用最新的工具和技术来建立信心

关于此指导项目

In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.

分步进行学习

在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：

Importing COVID19 dataset and preparing it for the analysis by dropping columns and aggregating rows.
Deciding on and calculating a good measure for our analysis.
Merging two datasets and finding correlations among our data.
Visualizing our analysis results using Seaborn.

5个项目图片

位教师

授课教师评分

(182个评价)

Ahmad Varasteh

24 门课程88,776 名学生

提供方

Coursera

学习方式

基于技能的实践学习
通过完成与工作相关的任务来练习新技能。
专家指导
使用独特的并排界面，按照预先录制的专家视频操作。
无需下载或安装
在预配置的云工作空间中访问所需的工具和资源。
仅在台式计算机上可用
此指导项目专为具有可靠互联网连接的笔记本电脑或台式计算机而设计，而不是移动设备。

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

学生评论

5 stars
67.22%
4 stars
24.23%
3 stars
5.74%
2 stars
1.57%
1 star
1.21%

显示 3/1969 个

已于 Jul 30, 2020审阅

This is very good this can help me in my personal project and my analysis in Data Science thank you coursera offer me this project as well as instructor of this project

已于 Jul 10, 2020审阅

great project for a beginner and intermediate to work upon, keep making these type of guided project and try to make it a bit lengthy(should be more 1 hour) :)

已于 Jul 31, 2020审阅

Although it was mentioned that this project was for people with intermediate skills in python however, found it to be suitable for beginners as well.Loved the course by far.

查看更多评论

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

It is the process of preparing datasets, choosing a useful measure, combining the data, and visualizing patterns in Python. The course focuses on linking those steps so the analysis is organized and interpretable instead of being a set of isolated coding tasks.

You would use it when you need to work with related datasets and turn them into one clear analysis. It is especially useful when the raw data must be cleaned, summarized, and compared before you can look for relationships.

It sits between defining the question you want to study and interpreting the final findings. In this course, the emphasis is on preparing and combining data well enough that later comparison and visualization make sense.

COVID19 Data Analysis Using Python

COVID19 Data Analysis Using Python

您将学到什么

您将练习的技能

您将使用的工具

要了解的详细信息

了解顶级公司的员工如何掌握热门技能

在 2 小时内学习、练习并应用岗位必备技能