|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/hypothesis-testing-python-excel
课程评论：没有评论
课程名称：使用Python和Excel进行假设检验 课程概述：在当今的就业市场中，领导者需要理解数据的基础，以保持竞争力。假设检验是理解商业和分析的一个重要过程。本短期课程由塔夫茨大学的专家教师设计，将教授如何使用Excel和Python进行对总体均值和总体比例的假设检验基础知识。课程中还将介绍中心极限定理，这是进行假设检验的基础理论。最后，学员将运用所学技能，在自己的工作场所制定一个使用假设检验的实验计划。 课程大纲： - 课程名称：假设检验 - 课程描述：假设检验是商业分析中的一项基本程序。在本课程中，您将学习对总体均值和总体比例的假设检验基础知识。我们还将解释中心极限定理，这是进行假设检验的重要基础。课程中将使用Excel和Python进行计算。课程结束时，您将运用这些技能，在工作场所制定一个使用假设检验的实验计划。
Name:Hypothesis Testing
Description:Hypothesis testing is an essential procedure in business analytics. In this course, you will learn the fundamentals of hypothesis testing of a population mean and a population proportion. We will also explain the central limit theorem, which is essential for hypothesis testing. We will use Excel and Python for our calculations. At the end of the course, you will apply these skills by creating a plan for an experiment using hypothesis testing at your workplace.
In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.
