Analysis and Interpretation of Data

This course is part of Market Research Specialization

Instructors: Athanasia Lampraki +1 more

What you'll learn

  •   Familiarise with data analysis and interpretation
  •   Use qualitative and quantitative data analysis approaches
  • Skills you'll gain

  •   Market Research
  •   Statistical Analysis
  •   Regression Analysis
  •   Return On Investment
  •   Data Analysis
  •   Data Cleansing
  •   Content Performance Analysis
  •   Digital Marketing
  •   Quantitative Research
  •   Probability & Statistics
  •   Marketing Analytics
  •   Exploratory Data Analysis
  •   Trend Analysis
  •   Correlation Analysis
  • There are 4 modules in this course

    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.

    Week 2

    Week 3

    Week 4

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