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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/analysis-and-interpretation-of-data
课程评论：没有评论
课程名称：数据分析与解读 概述：本课程专注于数据的分析与解释，重点包括数据准备、描述以及定量和定性数据分析。课程开篇讨论数据准备、量表内部一致性、合适的数据分析及皮尔逊相关系数。接着，我们将探讨可用于研究关系的统计方法，重点讨论多元回归分析。课程随后会集中讲解逻辑回归、探索性因子分析及因子分析的结果。我们还将学习如何进行实验和观察研究，以及内容分析和数字分析在市场研究中的应用。课程的最后部分将讨论数字分析，特别强调数字品牌分析、受众分析、数字生态系统分析、投资回报率（ROI）及数字分析在市场研究中的作用。 课程大纲： 第一部分：第1周 描述：本周将讨论数据准备和量表内部一致性。随后，我们将关注合适的数据分析及皮尔逊相关系数，最后将集中探讨可用于研究关系的统计方法。 第二部分：第2周 描述：本周将重点讨论用于研究关系的统计方法，尤其是多元回归分析。接下来，我们将深入讲解逻辑回归和探索性因子分析，并讨论因子分析的结果。 第三部分：第3周 描述：本周将讨论如何进行实验和观察研究，并探讨内容分析及数字分析在市场研究中的应用。 第四部分：第4周 描述：本周将重点探讨数字分析，包括数字品牌分析、受众分析、数字生态系统分析、投资回报率（ROI）及数字分析在市场研究中的作用。
Part: 1
Title:Week 1
Description:This week commences with a discussion of data preparation and scale internal consistency. We will then look at appropriate data analysis and the Pearson correlation. The week ends with a focus on statistics that can be used to investigate relationships.
Part: 2
Title:Week 2
Description:The week commences with a discussion of statistics for investigating relationships with a focus on multiple regression. The week continues with a focus on logistic regression and exploratory factor analysis. The week ends with a discussion of the outcome of factor analysis.
Part: 3
Title:Week 3
Description:The week commences with a discussion of how to conduct an experiment and an observational study. The week ends with an exploration of content analysis and the use of digital analytics in market research.
Part: 4
Title:Week 4
Description:This week explores digital analytics, with an emphasis on digital brand analysis, audience analysis, digital ecosystem analysis, Return on Investment (ROI), and the role of digital analytics in market research.
This course focuses on the analysis and interpretation of data. The focus will be placed on data preparation and description and quantitative and qualitative data analysis. The course commences with a discussion of data preparation, scale internal consistency, appropriate data analysis and the Pearson correlation. We will look at statistics that can be used to investigate relationships and discuss statistics for investigating relationships with a focus on multiple regression. The course continues with a focus on logistic regression, exploratory factor analysis and the outcome of factor analysis. We are going to explore how to conduct an experiment and an observational study, as well as content analysis and the use of digital analytics in market research. The course ends with a consideration of digital analytics, with an emphasis on digital brand analysis, audience analysis, digital ecosystem analysis, Return on Investment (ROI), and the role of digital analytics in market research.
