Analytical Solutions to Common Healthcare Problems

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课程主页: https://www.coursera.org/archive/analytical-solutions-common-healthcare-problems

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课程大纲

Solving the Business Problems
Algorithms and "Groupers"
ETL (Extract, Transform, and Load)
From Data to Knowledge

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课程详情

In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data. Creating these artifacts of data processes is a key skill when working with healthcare data.

常见医疗保健问题的分析解决方案:在本课程中,我们将介绍常见医疗保健问题的分析解决方案。我将审查这些业务问题,您将建立各种数据结构来组织数据。然后,我们将探索将数据分组并将医学代码分类为分析类别的方法。然后,您将能够提取,转换数据并将其加载到解决医疗问题所需的数据结构中,并且还能够协调来自多个来源的数据。最后,您将创建一个数据字典来传达数据的来源和价值。使用医疗数据时,创建数据过程的这些工件是一项关键技能。

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