Data Management and Visualization

开始时间: 08/01/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/data-visualization

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课程详情

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.

数据管理和可视化:无论是用来为数百万个网站的访问者定制广告,还是简化一家小餐馆的库存订购,数据都变得越来越成功。很多时候,我们不确定如何使用数据来找到问题的答案,这些答案将使我们在做事中更加成功。在本课程中,即使您以前从未考虑过数据,也将发现什么是数据,并思考该数据可以回答哪些问题。在现有数据的基础上,您将学习提出一个研究问题,描述变量及其之间的关系,计算基本统计数据并清楚地展示您的结果。在课程结束时,您将能够使用强大的数据分析工具(SAS或Python)来管理和可视化数据,包括如何处理丢失的数据,变量组和图形。在整个课程中,您将与他人分享您的进度以获得宝贵的反馈,同时还将学习您的同龄人如何使用数据来回答他们自己的问题。

课程大纲

We would like to welcome you to Wesleyan University's Data Analysis and Interpretation Specialization. In this session, we will discuss the basics of data analysis. Your task will be to select a data set that you would like to work with and to review available code books that help you develop your own research question. You will also set up a Tumblr blog that will allow you to reflect on these experiences, submit assignments and share your work with others throughout the course. First, you may want to check out the welcome video

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Whether being used to customize advertising to millions of website visitors or streamline inventory

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