Digital Advertising & Marketing 101: Take The Complete Guide
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.
The Complete 2020 Web Development Bootcamp
This course is designed to start you on a path …
What you'll learn
Describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript
Apply essential programming language concepts w
Creating HTML forms, select an appropriate web hosting service
Publish your webpages for the world to see.
Be able to develop a working model for creating your own personal or business websites in the future
Fully prepared to take the next step in more advanced web development or design course or specialization.
Business Analysis Fundamentals
 Unlike other courses, Communication Skills Machine is the complte course …
What you'll learn
Everthing you need to know to develop your communication skills
Become more persuasive & influential in business and life
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.