Queen Mary University of London
Analysis and Interpretation of Data
Queen Mary University of London

Analysis and Interpretation of Data

This course is part of Market Research Specialization

Taught in English

Some content may not be translated

Athanasia Lampraki
Evangelia Katsikea

Instructors: Athanasia Lampraki

1,971 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

21 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Familiarise with data analysis and interpretation

  • Use qualitative and quantitative data analysis approaches

Details to know

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Assessments

28 quizzes

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

21 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Market Research Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

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.

What's included

4 videos5 readings6 quizzes5 discussion prompts

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.

What's included

4 videos5 readings7 quizzes4 discussion prompts

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.

What's included

4 videos5 readings7 quizzes4 discussion prompts

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.

What's included

4 videos4 readings8 quizzes1 peer review3 discussion prompts

Instructors

Athanasia Lampraki
Queen Mary University of London
8 Courses20,767 learners

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