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. 

This course covers a range of skills required for survey data preparation.  It builds on introductory material covered in our "Survey Analysis Foundations" and "Beginners Guide to Data Checking and Cleaning" courses.  By the end of his course ... 

• you will know how to identify opportunities tidy and transform variables, or create new variables from existing ones
• know how to perform these tasks
• and gain exposure to some automated methods for variable transformation and creation (that you might use for ongoing work, like tracking studies.

You can then sit the exam and get certified!

You can then build on this knowledge and skill set via The Data Story Guide and future courses.

Limited-time offer! Enroll now for free before we add a nominal fee.

One of the critical things that separates advanced market researchers from the rest is the ability to connect findings with their primary audience, the marketing community.  If you want to take your consulting skills to a new level, this course is for you!

By the end of the course, you will know how to recognize an opportunity to add value to data using a range of strategy frameworks and how to apply them.  The frameworks include

• Competitive Market Structure, layering classic perceptual maps
• "Most Valuable Consumer," identifying and sizing the core group of consumers that drive the category and pinpointing them in demographic terms
• Conversion Metrics, arranging readily available data to identify gaps and set consumer-relevant goals
• Brand Strategy Grid to determine how best to meet those goals
• Demand-Creating Conditions to help optimize the marketing mix.

While the course should benefit all, it will be particularly useful for those completing our Beginner's and Advanced Tracking Research courses

Limited-time offer! Enroll now for free before we add a nominal fee.

This course covers a range of skills required for survey data preparation.  It builds on introductory material covered in our "Survey Analysis Foundations" course.  By the end of his course ... 

• you will have a structured set of steps for checking and cleaning survey data
• be able to practice them with real data
• and gain exposure to some methods for tidying and transforming variables

You can then build on this knowledge and skill set via The Data Story Guide and our companion course for this learning path, Advanced Data Checking, Cleaning, and Tidying.

At the end of the learning path, you can sit the exam and get certified!

Limited-time offer! Enroll now for free before we add a nominal fee.

This course covers the foundation skills required for survey data analysis.  By the end of it, you will know the basics of how to:

• specify a data file that is best suited to survey research
• check, clean, and tidy data
• analyze with tables and crosstabs, and 
• structure the analysis so it tells a story.   

You can also sit the exam and get certified! 

The Survey Analysis Foundations course is open to anyone and is free!  You can then build on these foundation skills with our growing intermediate and advanced courses library.

This course, being an entry point into the Academy, is free.

If you're new to tracking analysis and reporting or want to refresh your basic skills, this course is for you!

By the end of the course, you will know the basics of what tracking is, why companies do it, and the unique challenges it presents, including:

• Getting your data files in the best format for tracking
• Merging data files (for example, from wave to wave)
• Weighting specifics for tracking data
• Statistical testing on time-series data
• Data visualization for trackers
• And being smart about analysis and report building (so they are easy to update)

You can consider taking our Advanced Tracking(Longitudinal) Research course upon completion.

Limited-time offer! Enroll now for free before we add a nominal fee.