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About the Course
If you're already familiar with the basics of tracking and want to push your skills further, this course is for you!
By the end of the course, you will know a range of techniques and how to apply them ...
- Advanced statistical testing on trend data to identify changes
- Tracking-ready analyses, like small multiple visualizations and splines.
- Accounting for seasonality in trend data
- When and how to weighting by key measures (e.g., volumetric)
- Automated data quality checks and data updates
- How to work out if changes in key results were due to changes within sub-groups or changes in sub-group size
- Analysis frameworks (to add value and keep your audience engaged)
It's a logical extension to our Beginners Guide to Tracking Research course.
Course Instructor
Over 30 years experience in quantitative research, including director roles at a leading multi-national agency. Highly regarded for his skills in finding the story in data and communicating it in an effective way.
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Analysing Trend Data and Identifying Change
- Selecting visualizations that help identify trends and applying statistical tests
-
Decomposing Changes in Trend
- Determine if trends changes are due to change in segment size or changes within segment
-
Accounting for Seasonality
- How to remove seasonal effects from time series data
-
Automated Data Checking and Updating
- Build in checks so you can ensure your sample is stable with each wave.
-
Adding Value via Market Frameworks
- Explore the world of Brand Health Conversion Tables, Scatter Plots, Market Maps, and more
About the Course
If you're already familiar with the basics of tracking and want to push your skills further, this course is for you!
By the end of the course, you will know a range of techniques and how to apply them ...
- Advanced statistical testing on trend data to identify changes
- Tracking-ready analyses, like small multiple visualizations and splines.
- Accounting for seasonality in trend data
- When and how to weighting by key measures (e.g., volumetric)
- Automated data quality checks and data updates
- How to work out if changes in key results were due to changes within sub-groups or changes in sub-group size
- Analysis frameworks (to add value and keep your audience engaged)
It's a logical extension to our Beginners Guide to Tracking Research course.
-
Analysing Trend Data and Identifying Change
- Selecting visualizations that help identify trends and applying statistical tests
-
Decomposing Changes in Trend
- Determine if trends changes are due to change in segment size or changes within segment
-
Accounting for Seasonality
- How to remove seasonal effects from time series data
-
Automated Data Checking and Updating
- Build in checks so you can ensure your sample is stable with each wave.
-
Adding Value via Market Frameworks
- Explore the world of Brand Health Conversion Tables, Scatter Plots, Market Maps, and more
Course Instructor
Over 30 years experience in quantitative research, including director roles at a leading multi-national agency. Highly regarded for his skills in finding the story in data and communicating it in an effective way.
