Angular – The Complete Guide (2020 Edition)
From Setup to Deployment, this course covers it all! You’ll learn all about Components, Directives, Services, Forms, Http Access, Authentication, …
O que você vai aprender
Develop modern, complex, responsive and scalable web applications with Angular 11
Fully understand the architecture behind an Angular application and how to use it
Use the gained, deep understanding of the Angular fundamentals to quickly establish yourself as a frontend developer
Create single-page applications with one of the most modern JavaScript frameworks out there
O que você vai aprender
Able to read the three most common financial statements
The income statement, balance sheet, and statement of cash flows.
Apply these skills to a real-world business setting.
Livre
The Complete Management Skills Certification Course
Projects are all around us. Virtually every organization runs projects, …
O que você vai aprender
Develop a higher level of leadership and management skills
Reach your fullest potential
Deliver extraordinary value
Destaque
The entrepreneur’s guide for beginners
The Entrepreneur’s Guide for beginners and is a course created …
O que você vai aprender
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? …
O que você vai aprender
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.