Financial Planning & Analysis: Company’s Budget
Financial Planning & Analysis: Building a Company’s Budget from Scratch …
何を学ぶか
Learn how to analyze the financial statements using different metrics
Dissect a company's health and profitability.
何を学ぶか
RDBMSの基本を理解し、DBAチームを効率的に管理する。
Oracle Database(Oracle 12cおよびOracle 11gを含む)の基礎を理解する。
The Complete Management Skills Certification Course
Projects are all around us. Virtually every organization runs projects, …
何を学ぶか
Develop a higher level of leadership and management skills
Reach your fullest potential
Deliver extraordinary value
何を学ぶか
Students will be able to formulate the basic views that are associated with Logical Positivism and conceptually manipulate the interrelation of observation and theory formation
Students will be able to understand and structure the main issues that philosophy of science engages with.
Students will be able to assess the consequences of the Logical Positivist's views concerning science, philosophy and their interrelation.
プロフェッショナルな生産性のための時間管理
In this Specialization, you will understand how investment strategies are …
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
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.