Data Visualization with Python

开始时间: 09/26/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew



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"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

使用Python进行数据可视化:“一张图片值得一千个单词”。我们都熟悉这个表达。当试图解释从越来越大的数据集的分析中获得的见解时,它尤其适用。数据可视化在小型和大型数据的表示中都起着至关重要的作用。 数据科学家的一项关键技能是能够讲述引人入胜的故事,以一种易于接近且令人振奋的方式可视化数据和发现的能力。学习如何利用软件工具来可视化数据还将使您能够提取信息,更好地理解数据并做出更有效的决策。 使用Python进行数据可视化课程的主要目标是教您如何获取乍一看毫无意义的数据,并以对人们有意义的形式呈现该数据。已经开发了各种技术来可视化地呈现数据,但是在本课程中,我们将使用Python中的几个数据可视化库,即Matplotlib,Seaborn和Folium。 限时优惠:订阅仅需每月39美元,即可访问分级材料和证书。


In this module, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition, you will learn about the dataset on immigration to Canada, which will be used extensively throughout the course. Finally, you will briefly learn how to read csv files into a pandas dataframe and process and manipulate the data in the dataframe, and how to generate line plots using Matplotlib.



"A picture is worth a thousand words". We are all familiar with this expression. It especially appli