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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mathematica-for-statistics/
课程评论：没有评论
课程名称：用于医疗保健和生命科学统计的Mathematica 课程概述：本课程面向所有对进行自身统计分析的医疗保健和生命科学领域人员。您将学习一种易于使用、功能强大的计算机语言，以及如何利用它进行统计分析。课程介绍部分将指导您如何获取Mathematica的副本或使用云中的免费版本。同时，Wolfram公司还为所有参加此课程的学生提供WolframOne的免费访问权限，具体信息可在附加材料视频讲座中获取。尽管课程假设学员具备一些统计概念知识，但也提供了基本统计信息，因此大多数学习者会发现这对于学习这些概念以及掌握进行实际分析的代码编写非常有帮助。 课程结构分为多个清晰的模块，每个模块包含一系列视频讲座。每个模块的第一个视频都附带笔记本文件，并在必要时提供电子表格数据文件。每个模块中标记为“Recording”的笔记本是我在视频讲座中使用的副本，其它的笔记本文件则对代码和统计内容进行了更详细的描述。您可以将其作为额外的学习资源，以帮助您掌握Mathematica的使用。 课程从简单的Mathematica使用介绍开始，教您如何进行基本计算，随后逐步深入，包括描述性统计、绘图与制图、创建模拟数据及导入现有数据。不久之后，您将能够进行高级统计测试，例如参数检验和非参数检验，甚至生存分析，均可通过简短的代码实现。准备好掌握并进行您自己的统计分析吧！
This course is for anyone in the healthcare and life sciences interested in doing their own statistical analysis. You will learn an easy to use, powerful computer language and how to use it to do statistical analysis. The introduction shows you how to get a copy of Mathematica or how to use the free version in the cloud. The Wolfram company also provides complimentary access to WolframOne for all students who take this course. More information is available in the BONUS MATERIAL video lecture. Although the course assumes some knowledge of statistical concepts, it does supply enough information on the basics of statistics, so that most learners will find it a useful resource enough resource to learn these concepts, over and above learning how to write code to do the actual analysis. The course is made up of clearly defined sections, each with its own set of video lectures. The first video in each section is accompanied by notebook files and, where required, a spreadsheet data file. The notebook in each section marked Recording.is a copy of the notebook that I use in the video lectures. The other notebook file contains much more description of both the code and the statitics. You can use this as an additional study resource as you learn how to use Mathematica. The course starts with a gentle introduction to using Mathematica by showing you how to perform simple calculations. From here it progresses through descriptive statistics, plotting and charting, the creation of simulated data and the importation of existing data. Before too long you will be able to do advanced statistical tests such as parametric and nonparametric tests and even survival analysis. All with a few short lines of code. Get ready to understand and do your own statistics.
