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所在平台: Udemy |
课程主页: https://www.udemy.com/course/healthcare-decoded-data-visualization-r/
课程评论：没有评论
课程名称：医疗信息技术解密 - 使用R进行数据可视化 概述：你是否希望学习如何使用R编程和医疗数据创建基础图表？如果是的话，这门课程正适合你。这门课程结合了我在医疗信息技术领域超过20年的经验和超过10年的教学经历，旨在满足不同背景学生的需求。课程内容包括： - 理解患者旅程与收入周期管理工作流程，包括前台、中台和后台的关系。 - 数据可视化旅程：从数据源系统到创建报告的过程。 - 目前课程中使用R（主要是ggplot包）解释了41种图表类型，包括： - 条形图、堆叠条形图、百分比堆叠条形图 - 分组条形图、水平条形图、饼图、网格图 - 基本散点图、散点图及趋势线、不同形状散点图、颤动图 - 气泡图、椭圆形散点图、六边形散点图、小提琴图 - 蜜蜂图、密度图、直方图、箱型图 - 经验CDF图、边岭图、豆图、雨云图 - QQ图、龙卷风图、基础热图、交互热图 - 地理热图、日历热图、相关热图、折线图 - 多重折线图、带动画的折线图、面积图、堆叠面积图 - 阶梯图、桑基图、树地图等。 课程中新增了使用Python中plotnine（ggplot）创建图表的部分，旨在重用R中创建的ggplot代码。 使用的数据集包括： - CDC关于癌症的Wonder数据集 - 医院再入院数据 - 麻疹数据 - CDC慢性疾病指标 - COVID病例数据 - 心力衰竭数据 - 前列腺癌数据 注：课程封面图片使用了来自Freepik网站的素材。
Are you Interested in learning how to create some basics using R programming and Healthcare data? Yes, then look no further. This course has been designed considering various parameters. I combine my experience of over twenty years in Health IT and more than ten years in teaching the same to students of various backgrounds (Technical as well as Non-Technical).In this course you will learn the following:Understand the Patient Journey via the Revenue Cycle Management Workflow - Front, Middle and Back OfficeThe Data Visualization Journey - Moving from Source System to creating ReportsAt present I have explained 41 Charts using R (primarily using ggplot)Bar Chart Stacked Bar Chart Stacked Bar Chart percent Grouped Bar Chart Horizontal Bar Chart Pie Chart Trellis Chart Basic Scatter Plot Scatter Plot with Trend Line Scatter Plot & Multiple Trend LineScatter Plot with different shapes Jitter Plot Bubble Chart Scatter plot & Ellipse Scatter vs Hexbin Violin Plot Beeswarm Plot Density Plot Histogram vs Density 2D Density Plot Box Plot Box with Jitter ECDF Plot (Empirical CDF) Ridgeline Plot Bean Plot Raincloud Plot QQ Plot (Quantile-Quantile Plot) Tornado Chart Basic Heatmap Interactive Heatmap Geographical Heatmap Calendar Heatmap Correlation Heatmap Line Chart Multiple Line Chart Line Chart + Animation Area Chart Stacked Area Chart Step Chart Sankey Chart Tree Map New section added to create Charts using plotnine (ggplot) in PythonThe purpose is to try and reuse the ggplot code created in R.Healthcare Datasets to create the above charts.CDC Wonder Dataset around Cancer.Hospital Readmissions DataMeasles DataChronic Disease Indicators from CDCCOVID CasesHeart Failure DataProstate Cancer Data**Course Image cover has been designed using assets from Freepik website.
