Free
Mobile App Development with Ionic Framework
What you'll learn
The basics of the technology
Background behind the technology.
The advantages of mobile apps
Cover basics as well as advanced concepts and technologies.
C# Basics for Beginners
What you'll learn
Strong foundation on the basics of C# programming language and coding constructs.
More confident to learn advanced C# programming concepts.
Be ready to begin your career as a C# .NET programmer
Featured
-34%
The Creative Journey of Branding
What you'll learn
Can create a value proposition for a brand
Learn how to produce meaningful and engaging content.
Develop a complete creative pitch.
Examine Branding activities through the lens of Customer Experience.
Investment Management Specialization
What you'll learn
Earn the certificate of Financial specialization that you can share with prospective employers and your professional network
Gain the skills: Investment management, interest rate, stock, portfolio construction
Free
Introduction to Web Development
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.
Survey analysis to Gain Marketing Insights
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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