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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-excel/
课程评论：没有评论
**课程名称：** Excel 数据统计与分析 **课程概述：** 本课程旨在通过 Microsoft Excel 这一强大且普及的工具，教授学员数据分析的必备技能。课程将重点讲解统计显著性检验，这是 A/B 测试和产品评估的关键技术。内容涵盖多种统计测试，包括不同的 t 检验、方差分析 (ANOVA)、事后检验、相关性分析和回归分析。 课程以其清晰、准确的分步指导和细致入微的解释，非常适合希望提升数据分析能力的专业人士。通过学习，学员将能够掌握重要的统计方法，将其融入数据分析工具包，从而在竞争中脱颖而出。此外，本课程还将为学生在统计学和实验设计课程中的学习奠定坚实基础。 **课程内容：** 本课程将使用 Microsoft Excel 的“数据分析”工具包，详细介绍以下统计程序： * **集中趋势：** 均值、中位数、众数 * **离散程度：** 标准差、方差、极差 * **t 检验：** 独立样本 t 检验、配对样本 t 检验 * **方差分析 (ANOVA)** * **事后检验** * **相关性分析** * **多元回归分析** **每项测试的讲解将包括：** 1. **Excel 操作步骤：** 详细的 Excel 操作演示，指导学员如何执行分析。 2. **结果解读：** 以清晰易懂的语言解释统计结果的含义。 3. **结果沟通：** 指导学员如何专业、准确地与他人沟通统计结果，展现对内容的深刻理解。 **课程价值：** 立即报名本课程，掌握重要的、具有市场竞争力的数据分析技能！
Get marketable data analytic skills in this course using Microsoft Excel. This course will substantially increase your knowledge of data analytics using the extremely popular Microsoft Excel software program, with a focus in the area of significance testing, an important tool for A/B testing and product assessment. Many tests covered, including different t tests, ANOVA, post hoc tests, correlation, and regression. This course is great for professionals, as it provides step by step instruction of tests with clear and accurate explanations. Get ahead of the competition and make these tests important parts of your data analytic toolkit! Students will also have the tools needed to succeed in their statistics and experimental design courses. In this course, a number statistical procedures will be covered in Microsoft Excel using the Data Analysis TookPak. The following statistical procedures will be covered in this course: Central Tendency (Mean, Median, Mode)Variability (Standard Deviation, Variance, Range)t tests (Independent t and Dependent t)Analysis of Variance (ANOVA)Post Hoc TestsCorrelationMultiple Regression For each test, we will cover: How to perform the analysis step-by-step in Microsoft ExcelWhat the results mean in clear, yet accurate languageHow to effectively, accurately, and professionally communicate the results to others, clearly demonstrating your understanding of the material. Enroll in this course and obtain important marketable data analytic skills today!
