The entrepreneur’s guide for beginners
The Entrepreneur’s Guide for beginners and is a course created …
What you'll learn
To promote an entrepreneurial spirit and to consider the option of setting up a company as an employment opportunity
Development of entrepreneurial skills and use of tools that equip people to work in an entrepreneurial project
Essential knowledge for those interested in managing their own business
The entrepreneur’s guide for beginners
The Entrepreneur’s Guide for beginners and is a course created …
What you'll learn
To promote an entrepreneurial spirit and to consider the option of setting up a company as an employment opportunity
Development of entrepreneurial skills and use of tools that equip people to work in an entrepreneurial project
Essential knowledge for those interested in managing their own business
Survey analysis to Gain Marketing Insights
How do consumers see your brand relative to your competitors? …
What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
Survey analysis to Gain Marketing Insights
How do consumers see your brand relative to your competitors? …
What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
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