Meaningful Marketing Insights

Meaningful Marketing Insights

课程
en
英语
10 时
此内容评级为 3.7273/5
来源
  • 来自www.coursera.org
状况
  • 自定进度
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  • 5 序列
  • 等级 中级

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课程详情

教学大纲

  • Week 1 - Meet Dr. Schweidel & Course Overview
    In this module, students will be introduced to the instructor, Dr. David Schweidel and get and overview of the course.
  • Week 2 - Exploring your Data with Visualization and Descriptive Statistics, Part 1
    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 a...
  • Week 3 - Exploring your Data with Visualization and Descriptive Statistics, Part 2
    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 a...
  • Week 4 - Regression Analysis for Marketing Data
    In this module, you will be asked to determine the appropriate type of regression for different types of marketing data and will perform regression analysis to assess the impact of marketing actions on outcomes of interest, such as sales, traffic, and brand ch...
  • Week 5 - From Analysis to Action
    This final module will connect the results of regression analysis to marketing decisions. You will learn to build tools that allow users to evaluate outcomes based on different marketing decisions, as well as characterize the extent of uncertainty in outcomes ...

先决条件

没有。

讲师

David Schweidel
Associate Professor of Marketing
Goizueta Business School

编辑

Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity.

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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