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所在平台: Udemy |
课程主页: https://www.udemy.com/course/predictive-modeling-statistical-analysis-minitab-and-excel/
课程评论：没有评论
课程名称：预测建模与统计分析：Minitab和Excel 课程概述： 预测建模和统计分析是各行业做出明智决策的重要工具。本课程使您能够应用Minitab和Excel进行数据分析，发掘趋势，创建稳健的模型。课程涵盖从描述性统计到回归建模的各个方面，通过使用来自Infosys、Reliance和Colgate Palmolive等真实公司的数据集提供实际示例。 课程结构： 第一部分：介绍 本部分介绍预测建模及Minitab软件的基本功能，让学生了解软件界面及其在统计分析中的作用。 第二部分：入门 这一部分探讨Minitab的基本特性。您将学习如何计算列统计量，导航软件窗口，并有效使用帮助和助手功能进行引导分析。 第三部分：描述性统计 通过来自Reliance和Infosys的案例研究，深入了解描述性统计。此部分教授如何总结数据、计算集中趋势，并进行深入分析。您将通过简单统计到利用t检验进行比较分析的实际案例，逐步练习。 第四部分：卡方和方差分析 本部分将探讨卡方检验和方差分析（ANOVA），用于评估统计独立性和比较组均值。通过真实场景的示例来巩固您的理解，确保您能够自信地应用这些技术。 第五部分：相关性分析 相关性是理解变量之间关系的关键。本部分深入分析相关性，将内容分为三个部分，以充分理解。您将学习如何有效量化和解读数据集之间的关联。 第六部分：线性回归建模 学习构建和解释线性回归模型，案例来源于Tech Mahindra、Colgate Palmolive和BSE。本部分深入探讨回归的理论基础，并将其应用于真实数据，确保您获得概念和实践的双重能力。 第七部分：使用Excel进行统计分析 课程最后介绍如何使用MS Excel进行回归分析。您将安装并使用分析工具包插件进行统计计算，为分析提供一种便捷的替代方案。 总结： 本课程为您提供预测建模和统计分析的工具与技巧，结合理论与实践应用，帮助您准备应对现实数据挑战。
Course IntroductionPredictive modeling and statistical analysis are essential for informed decision-making across industries. This course empowers you to apply Minitab and Excel to analyze data, uncover trends, and create robust models. Covering everything from descriptive statistics to regression modeling, this course provides practical examples with datasets from real companies like Infosys, Reliance, and Colgate Palmolive.Section-wise WriteupSection 1: IntroductionThe course begins with an introduction to predictive modeling using Minitab. Students will learn the software's capabilities and gain a foundational understanding of its interface and purpose in statistical analysis.Section 2: Getting StartedThis section explores Minitab's basic features. You'll learn to compute column statistics, navigate the software's windows, and use the Help and Assistant features effectively for guided analysis.Section 3: Descriptive StatisticsDive into descriptive statistics with case studies from Reliance and Infosys. This section teaches how to summarize data, calculate central tendencies, and draw insights. You'll practice hands-on examples, progressing from simple statistics to hypothesis testing with t-tests for comparative analysis.Section 4: Chi-Square and ANOVA TestingIn this section, you'll explore Chi-square tests and Analysis of Variance (ANOVA) for assessing statistical independence and comparing group means. Examples from real-world scenarios solidify your understanding, ensuring you can apply these techniques confidently.Section 5: CorrelationsCorrelations are key to understanding relationships between variables. This section covers correlation analysis in depth, breaking it down into three parts for clarity. You'll learn to quantify and interpret associations between datasets effectively.Section 6: Linear Regression ModelingLearn to build and interpret linear regression models with examples from companies like Tech Mahindra, Colgate Palmolive, and BSE. This section delves into the theoretical foundation of regression and applies it to real-world data, ensuring you gain both conceptual and practical expertise.Section 7: MS Excel for Statistical AnalysisThe course concludes with an introduction to using MS Excel for regression analysis. You'll install and use the Analysis ToolPak add-in to perform statistical computations, providing an accessible alternative for analysis.ConclusionThis course equips you with the tools and techniques to perform predictive modeling and statistical analysis using Minitab and Excel. By combining theoretical concepts with practical applications, you'll be prepared to tackle real-world data challenges.
