QMUL - Analysis and Interpretation of Data
- Offered byCoursera
Analysis and Interpretation of Data at Coursera Overview
Duration | 22 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Analysis and Interpretation of Data at Coursera Highlights
- Earn a Certificate upon completion
Analysis and Interpretation of Data at Coursera Course details
- 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
Analysis and Interpretation of Data at Coursera Curriculum
Week 1
Manipulating the Collected Data: Reversing Negatively Worded Items
Selecting the Appropriate Data Analysis Approach
Spearman Correlation
Regression Analysis
Manipulating the Collected Data: Adding Up the Total Score for the Scale
Assessing the Reliability of a Scale
Pearson Correlation
Investigating Relationships
Selecting the Right Statistic
Test Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Test Your Knowledge
Week 2
Multiple Regression
Logistic Regression
Exploratory Factor Analysis
Interpret the Outcome of Factor Analysis
Assumptions in Multiple Regression
Run a Multiple Regression Analysis
Interpreting the Results of Logistic Regression
Stages in the Factor Analysis
Run a Factor Analysis
Test Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Test Your Knowledge
Test Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Week 3
Conducting an Experiment
Participant Observation
Content Analysis
Instagram and Snapchat
Conducting an Observational Study
The Relationship Between Observer and Participant
Structured Observation
YouTube and Pinterest
Test Your Knowledge
Test Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Test Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Week 4
LinkedIn and Earned Media Metrics
Digital Brand Analysis
Ecosystem Analysis
The Role of Digital Analytics
Web Analytics and Types of Digital Advertising
Metrics in Search Analytics
Audience Analysis
Return on Investment in the Digital Environment
Test Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Test Your Knowledge
Test Your Knowledge
Test Your Knowledge
Refresh Your Knowledge
Test Your Knowledge
Analysis and Interpretation of Data at Coursera Admission Process
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