Meaningful Marketing Insights

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课程简介

Emory University

课程大纲

Modules 2 and 3 focus on identifying appropriate descriptive statistics (measures of central tendency and dispersion) for different types of data, as well as recoding data using reference commands to prepare it for analysis. Additionally, you will manipulate and summarize data using pivot tables in Excel, produce visualizations that are appropriate based on the type of data being analyzed, and interpret statistics and visualizations to draw conclusions to address relevant marketing questions.

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课程详情

With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them. The course provides learners with exposure to essential tools including exploratory data analysis, as well as regression methods that can be used to investigate the impact of marketing activity on aggregate data (e.g., sales) and on individual-level choice data (e.g., brand choices). To successfully complete the assignments in this course, you will require Microsoft Excel. If you do not have Excel, you can download a free 30-day trial here: https://products.office.com/en-us/try

有意义的营销见解:营销人员已准备好成为组织内最大的数据用户,因此有必要了解组织收集的各种消费者数据。调查,交易历史记录和账单记录都可以洞悉消费者的未来行为,前提是它们的解释正确。在《营销分析简介》中,我们介绍了学习者将原始数据转换为营销见解所需的工具。包含的练习使用Microsoft Excel进行,以确保学习者拥有所需的工具,可从可用的数据中提取信息。本课程向学习者介绍了包括探索性数据分析在内的基本工具,以及可用于调查营销活动对汇总数据(例如,销售)和对个人选择数据(例如,品牌选择)的影响的回归方法。 )。 要成功完成本课程中的作业,您将需要Microsoft Excel。如果您没有Excel,则可以在此处下载免费的30天试用版:https://products.office.com/en-us/try

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