特集
何を学ぶか
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
-48%
何を学ぶか
学生は、論理実証主義に関連する基本的な見解を定式化し、観察と理論形成の相互関係を概念的に操作できるようになる。
学生は、科学哲学が取り組む主要な問題を理解し、構造化することができるようになる。
Students will be able to assess the consequences of the Logical Positivist's views concerning science, philosophy and their interrelation.
無料
何を学ぶか
Learn to plan effectively to achieve your personal and professional goals
Learn to recognize and overcome barriers to successful time management
Identify specific time management tools and use them effectively
Manage resources both effectively and efficiently
Keep your sense of perspective to prevent and manage crises
Learn to delegate effectively
Learn to manage expectations and say “No” when appropriate
無料
何を学ぶか
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? …
何を学ぶか
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.
