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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hypothesis-testing-h/
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课程名称：假设检验：数据科学必备统计学 课程概述： 本课程是数据科学和机器学习研究中的一项核心内容。课程旨在帮助学习者深入理解假设检验的概念、方法和应用。 讲座内容： * **第一讲：假设检验基础** * 介绍假设检验的核心概念。 * 讲解零假设（Null Hypothesis）和备择假设（Alternative Hypothesis）的含义。 * 指导如何构建零假设和备择假设。 * 通过实际案例进行说明。 * **第二讲：假设检验中的错误** * 阐述假设检验中可能出现的两种错误：第一类错误（Type I Error）和第二类错误（Type II Error）。 * 指导如何选择第一类错误（Alpha，$\alpha$）的阈值。 * 讲解如何在第一类错误和第二类错误之间进行权衡。 * **第三讲：假设检验的实施步骤** * 详细讲解进行假设检验的完整流程和必备统计概念。 * 逐一介绍进行假设检验所需的统计步骤及其顺序。 * 引导学习者如何根据统计概念得出结论。 * **第四讲：假设检验的实际案例分析** * 通过多个实际案例，演示如何应用假设检验的理论知识。 * **第五讲：假设检验的效力（Power）** * 解释假设检验的效力。 * 阐述第二类错误（Type II Error）及其概率（Beta，$\beta$）对检验效力的影响。 课程目标： 通过本课程，学习者将全面、深入地掌握假设检验的理论知识和实践技能，包括p值、Alpha值、点估计、Z统计量、T统计量等关键概念，并能自信地进行假设检验。 #假设检验 #零假设 #备择假设 #点估计 #p值 #Z统计量 #T统计量 #Alpha #第一类错误 #Type1Error #beta #第二类错误 #Type2Error #统计学 #数据科学
Hypothesis testing is one of the most essential topics in any statistical study and machine learning algorithmsP-value, alpha and point estimates find their foot prints in most of the statistical and ML studies.Hence it is important to understand hypothesis testing in as much detail as possible. The course includes five lecturesStarting the first lecture with the concepts that help you understand Hypothesis testing and what Null & Alternative hypothesis are. How to frame Null & Alternative hypothesis. Explain with a few real time examplesLecture 2 introduces you to the possible errors namely type I and Type II errors that occurs as a result of the hypothesis testing. Explains how to choose Type I error and balance between Type & II errorsThe third lecture is the main lecture and an elaborate one. Helps you understand how to apply the concepts and carry out the hypothesis testing applying all the essential statistical concepts. Explains all the statistical steps and their sequence involved in carrying out the hypothesis test until the conclusion is arrivedThe fourth lecture is dedicated for illustration of the hypothesis testing using real time examplesThe fifth and the final lecture explains you all about the power of the hypothesis test. The roll of type II error and it probability beta on the power of the testAll the above steps Comprehensively cover all the details in great level of granularity that at the end of the course I am sure you will have a complete and a comprehensive understanding on Hypothesis testing and how to carry them out#hypothesistesting #nullhypothesis #alternativehypothesis #pointestimate #pvalue #zstatistic #tstatistic #alpha #type1error #typeierror #beta #type2error #typeiierror #statistics #datascience
