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所在平台: Udemy |
课程主页: https://www.udemy.com/course/from-means-to-medians-tools-for-statistical-decision-making/
课程评论：没有评论
课程名称： 从均值到中位数：统计决策工具 课程简介： 你是否准备好以更快、更聪明和更自信的方式利用真实数据进行决策，即使你的数据不遵循“教科书规则”？欢迎参加“从均值到中位数：统计决策工具”课程。在本课程中，你将掌握参数和非参数统计工具的实际应用。不论你是在进行产品测试、质量保证、运营管理、医学研究还是调查数据，你都将学习如何选择合适的工具，并立即使用Microsoft Excel进行应用。 与传统的统计课程不同，本课程强调真实理解、真实实例和真实决策，不会让你陷入繁重的数学中。你将获得成功所需的一切： - 来自材料测试、教育研究、医学测试、制造业、心理学等领域的真实案例 - 可保留的Excel模板 - 术语表 - 应用所学知识的练习 - 终身访问所有课程材料及未来更新 - 与行业领先专业人士的问答访问 适合人群： 本课程非常适合那些日常处理数据但没有时间深入理论的专业人士，例如质量工程师、可靠性工程师、制造工程师、过程改进领导者、数据分析师和科学家、市场研究员与用户体验研究员、临床研究人员与生物统计师、项目经理与风险分析师以及研究生与早期职业研究者。 学习内容： - 描述性统计学的基础 - 参数测试与非参数测试的比较及其使用时机 - 简化的假设检验 - 理解正态分布、有效性、稳健性及假设 - 拟合优度检验（包括安德森-达林检验） - 实用的中心极限定理 - 简化执行t检验和方差分析 - 处理二项分布和F分布 - 使用Excel的RANK.AVG和非参数公式 - 执行真实世界的检验：符号检验、威尔科克森符号等级检验、曼-惠特尼U检验、克鲁斯卡尔-瓦利斯检验、弗里德曼检验 - 非参数相关方法，如斯皮尔曼等级相关 - 每个主要主题的Excel实用演示 为什么选择本课程？ - 现实相关性：每个工具通过相关示例进行解释，而不仅仅是理论。 - Excel为基础：无需昂贵或复杂的统计软件。 - 专注于决策制定：学习毫不犹豫地应用正确的检验。 - 实践学习：每个主要主题都有练习，以巩固技能。 - 终身学习：通过终身访问更新和专业问答支持，保持与时俱进。 课程要求： - 基本的Microsoft Excel使用知识 - 无需高级统计背景 - 乐于务实地思考如何利用数据解决现实问题 完成本课程后，你将能够： - 为你的实际数据选择正确的统计检验 - 自信地应用参数和非参数方法 - 清晰地解释结果并沟通你的发现 - 即使数据不“完美”，也能做出可靠的基于数据的决策 加入成千上万的专业人士，他们通过学习实用统计知识加速了职业生涯。今天就注册，转变你使用数据做决策的方式！
Course Description:Are you ready to make faster, smarter, and more confident decisions using real-world data - even when your data doesn't follow the "textbook rules"?Welcome to From Means to Medians: Tools for Statistical Decision MakingIn this course, you'll master the practical application of both parametric and nonparametric statistical tools. Whether you're working with product testing, quality assurance, operations management, medical research, or survey data, you'll learn how to choose the right tool for the job - and apply it immediately using Microsoft Excel.Unlike traditional statistics courses that bog you down in heavy math, this course emphasizes real understanding, real examples, and real decisions.You'll get everything you need to succeed:Real-life examples from materials testing, education research, medical testing, manufacturing, psychology, and moreHands-on Excel templates (yours to keep)Glossary of TerminologyPractice exercises to apply what you've learnedLIFETIME ACCESS to all course materials and future updatesQ & A access to industry-leading professionalsWho This Course Is For:This course is ideal for professionals who work with data but don't have time for deep theory:Quality EngineersReliability EngineersManufacturing EngineersProcess Improvement LeadersData Analysts and ScientistsMarket Researchers and UX ResearchersClinical Researchers and BiostatisticiansProject Managers and Risk AnalystsGraduate Students and Early Career ResearchersIf you need to decide whether your measurements, treatments, products, or processes are truly different-or track together-you belong here.What You'll Learn:Foundations of Descriptive StatisticsParametric vs. Nonparametric Testing - and when to use eachHypothesis Testing SimplifiedUnderstanding Normal Distributions, Validity, Robustness, and AssumptionsGoodness-of-Fit Tests (including the Anderson-Darling Test)The Central Limit Theorem Made PracticalPerforming t-Tests and ANOVA the easy wayWorking with Binomial and F DistributionsUsing Excel's RANK.AVG and Nonparametric FormulasPerforming real-world tests: Sign Test, Wilcoxon Signed Rank, Mann-Whitney U, Kruskal-Wallis, Friedman TestNonparametric Correlation Methods like Spearman's Rank CorrelationPractical Excel demonstrations for each major topicWhy Take This Course?Real-World Relevance: Every tool is explained through relatable examples, not just theory.Excel-Based: No expensive or complicated statistical software required.Focused on Decision-Making: Learn to apply the right test without second-guessing or overcomplicating.Learn by Doing: Every major topic comes with practice exercises to reinforce your skills.Lifetime Learning: Stay current with lifetime access to updates and professional Q & A support.Requirements:Basic familiarity with Microsoft ExcelNo advanced statistics background requiredA willingness to think practically about solving real-world problems with dataWhen You Finish This Course, You Will Be Able To:Select the correct statistical test for your real-world dataConfidently apply both parametric and nonparametric methodsInterpret results clearly and communicate your findingsMake reliable, data-driven decisions even when your data isn't "perfect"Join thousands of other professionals who have accelerated their careers by learning practical statistics the smart way. Enroll today and transform the way you make decisions with data!
