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.
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About this Course
The course on Interpretation of Data 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.
What 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 in Interpretation of Data
Syllabus
WEEK 1
5 hours to complete
Week 1
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.
4 videos (Total 15 min), 5 readings, 6 quizzes
WEEK 2
5 hours to complete
Interpretation of Data: Week 2
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.
4 videos (Total 17 min), 5 readings, 7 quizzes
WEEK 3
5 hours to complete
Week 3
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.
4 videos (Total 17 min), 5 readings, 7 quizzes
WEEK 4
6 hours to complete
Interpretation of Data: Week 4
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.
4 videos (Total 16 min), 4 readings, 9 quizzes
