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.
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About this Course
For market research analysts, social media strategists, marketing managers and market researchers to enhance their knowledge of key methodologies.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Familiarise with data analysis and interpretation
Use qualitative and quantitative data analysis approaches
Skills you will gain
- Using qualitative and quantitative data analysis approaches
- Analyse and interpret data
For market research analysts, social media strategists, marketing managers and market researchers to enhance their knowledge of key methodologies.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Week 1
Week 2
Week 3
Week 4
About the Market Research Specialization

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