Statistics / Data Analysis in SPSS: Inferential Statistics

所在平台: Udemy

课程主页: https://www.udemy.com/course/inferential-statistics-spss/

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**Coursera 课程名称:统计学 / SPSS 数据分析:推断统计** **课程概述:** 本课程旨在帮助您掌握实用且需求量大的数据分析技能,重点关注在 A/B 测试和产品评估中至关重要的显著性检验。课程涵盖多种统计检验方法,包括: * **t 检验:** 单样本 t 检验、独立样本 t 检验、配对样本 t 检验,用于分析样本组之间的差异和相似性。 * **方差分析 (ANOVA):** 分析不同群体间的差异,并学习使用事后检验 (Post hoc tests) 和 Levene's 方差齐性检验。 * **卡方检验 (Chi-square):** 非常适合 A/B 测试。 * **相关性 (Correlation) 和回归 (Regression)。** * **数据库管理 (Database management)**,包括排序和添加变量。 课程提供每个检验的两个深入示例,供您额外练习。内容循序渐进,解释清晰准确,特别适合需要提升数据分析能力的专业人士。学习这些统计方法将帮助您: * **做出明智的商业决策,提高利润。** * **更准确地理解目标受众的需求,提供更具吸引力的产品和服务。** * **自信地使用 IBM SPSS 进行数据分析,并得出可靠的研究结论。** * **在统计学和实验设计课程中取得成功。** * **评估研究结果的统计显著性。** * **选择合适的统计检验方法。** * **理解、计算和解释效应量 (effect sizes) 和置信区间 (confidence intervals)。** * **以 APA 格式撰写统计分析结果。** **学习目标:** 通过本课程,您将能够: * 在 SPSS 中使用各类推断统计检验来正确分析数据。 * 得出关于总体的准确结论。 * 识别消费者需求,并开发相应的创新产品或服务。 * 有效利用数据为客户和企业带来更大的利益。 **目标学员:** 希望提高数据分析技能的企业专业人士、统计学和实验设计专业的学生。 **课程特色:** * 超过 1000 名学员参加的畅销课程。 * 提供详细的步骤说明和清晰的解释。 * 提供丰富的示例供练习。 * 帮助学员在竞争中脱颖而出。 **立即注册,提升您的数据分析能力!**

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November, 2019. Join more than 1,000 students and get instant access to this best-selling content - enroll today!Get marketable and highly sought after skills in this course that will substantially increase your knowledge of data analytics, with a focus in the area of significance testing, an important tool for A/B testing and product assessment.Many tests covered, including three different t tests, two ANOVAs, post hoc tests, chi-square tests (great for A/B testing), correlation, and regression. Database management also covered!Two in-depth examples provided of each test for additional practice.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. Data Analytics is an rapidly growing area in high demand (e.g., McKinsey)Statistics play a key role in the process of making sound business decisions that will generate higher profits. Without statistics, it's difficult to determine what your target audience wants and needs. Inferential statistics, in particular, help you understand a population's needs better so that you can provide attractive products and services. This course is designed for business professionals who want to know how to analyze data. You'll learn how to use IBM SPSS to draw accurate conclusions on your research and make decisions that will benefit your customers and your bottom line. Use Tests in SPSS to Correctly Analyze Inferential Statistics Use the One Sample t Test to Draw Conclusions about a PopulationUnderstand ANOVA and the Chi SquareMaster Correlation and RegressionLearn Data Management Techniques Analyze Research Results Accurately to Make Better Business Decisions With SPSS, you can analyze data to make the right business decisions for your customer base. And by understanding how to use inferential statistics, you can draw accurate conclusions about a large group of people, based on research conducted on a sample of that population. This easy-to-follow course, which contains illustrative examples throughout, will show you how to use tests to assess if the results of your research are statistically significant. You'll be able to determine the appropriate statistical test to use for a particular data set, and you'll know how to understand, calculate, and interpret effect sizes and confidence intervals. You'll even know how to write the results of statistical analyses in APA format, one of the most popular and accepted formats for presenting the results of statistical analyses, which you can successfully adapt to other formats as needed. Contents and Overview This course begins with a brief introduction before diving right into the One Sample t Test, Independent Samples t Test, and Dependent Samples t Test. You'll use these tests to analyze differences and similarities between sample groups in a population. This will help you determine if you need to change your business plan for certain markets of consumers. Next, you'll tackle how to use ANOVA (Analysis of Variance), including Post-hoc Tests and Levene's Equal Variance Test. These tests will also help you determine what drives consumer decisions and behaviors between different groups. When ready, you'll master correlation and regression, as well as the chi-square. As with all previous sections, you'll see illustrations of how to analyze a statistical test, and you'll access additional examples for more practice. Finally, you'll learn about data management in SPSS, including sorting and adding variables. By the end of this course, you'll be substantially more confident in both IBM SPSS and statistics. You'll know how to use data to come to the right conclusions about your market. By understanding how to use inferential statistics, you'll be able to identify consumer needs and come up with products and/or services that will address those needs effectively. Join the over 1,000 students who have taken this best-selling course - enroll today!

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