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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
Fundamentals of Graphic Design
Graphic Design is all around us! Words and pictures—the building …
What you'll learn
Learned how to explore and investigate visual representation through a range of image-making techniques
Understand basic principles of working with shape, color and pattern
Been exposed to the language and skills of typography
Understand and have applied the principles of composition and visual contrast.
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Certificate Website Development
Certificate Website Development Course Website development Course refers to building …
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
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.
