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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-for-data-analysts-and-scientists/
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课程名称：《2023年数据分析师与科学家的统计学》 课程概述： 欢迎参加《数据分析师与科学家的统计学》课程，这是帮助您掌握重要统计测试及其实际和商业应用的终极课程！如果您在理解卡方独立性检验、t检验、相关性分析和方差分析(ANOVA)等统计测试时遇到困难，或者希望了解这些测试如何在现实中应用，并推动关键商业决策，这门综合性课程将为您提供所需的知识和技能，助您在数据分析师或数据科学家的职业生涯中表现出色。 在本课程中，您将学习如何进行并解释关键的统计测试，包括单样本t检验、独立样本t检验、配对样本t检验、相关性分析、简单线性回归和多重线性回归，以及单向方差分析。您还将深入理解重要的统计概念，如方差的齐性、共线性和方差的同质性。 课程采用生动有趣的教学风格，将带您踏上发现之旅，帮助您转变对统计学的理解。通过理论学习、实际案例和案例研究的结合，您将了解到如何在实际情况下应用统计测试。 课程结束时，您将拥有足够的信心和专业知识，将统计测试和概念应用于推动关键商业决策。您将能够利用统计工具深入分析复杂的数据集，并具备向关键利益相关者传达这些洞察的能力。 那么，您还在等什么？立即注册《数据分析师与科学家的统计学》课程，迈出成为统计分析大师的第一步吧！
Welcome to "Statistics for Data Analysts and Scientists" - the ultimate course to help you master the practical and business applications of essential statistical tests and concepts!Are you struggling to make sense of statistical tests like the Chi-Square test of independence, t-tests, correlation, and Analysis of Variance (ANOVA)? Are you looking to understand how these tests can be applied in real-world situations, and how they can be used to drive critical business decisions?This comprehensive course is designed to equip you with the knowledge and skills to excel as a data analyst or scientist. You will learn how to conduct and interpret key statistical tests such as the one-sample t-test, independent sample t-test, dependent sample t-test, correlation, simple and multiple linear regression, and one-way ANOVA. You will also gain a deep understanding of key statistical concepts like homoscedasticity of variance, multicollinearity, and homogeneity of variance.With an exciting and engaging teaching style, this course will take you on a journey of discovery that will transform your understanding of statistics. You will learn through a combination of theory, practical examples, and case studies that will help you understand how statistical tests can be applied in real-world situations.By the end of this course, you will have the confidence and expertise to apply statistical tests and concepts to drive critical business decisions. You will be able to use statistical tools to gain insights into complex data sets, and you will be equipped with the skills to communicate these insights to key stakeholders.So, what are you waiting for? Sign up for "Statistics for Data Analysts and Scientists" today, and take the first step towards becoming a master of statistical analysis!
