Introduction to quantitative methods for analyzing business problems. Analytic methods include decision analysis, linear programming, queuing and simulation. Applications address issues in areas such ...

An introduction to internal and external organisational data, mechanisms to obtain, analyse and interpret that data, and performance indicators used to define and assess the operational and financial ...

When combined with fundamental and technical factors (a 3-tiered methodology we call Expectational Analysis ®), sentiment becomes a powerful tool for analyzing stocks, sectors, or the overall market.

Success in business and science means making smart decisions. And those require the kind of information you can only get from sophisticated data analysis. It’s a growing field with huge opportunities.

My guess is that Python will eventually supersede R for most data manipulation analysis and tasks ... This tutorial is not meant as an introduction to Python. For that, you should search elsewhere on ...

The Master’s Certificate in Business Analytics will provide you with a comprehensive introduction to data analysis, data visualization techniques and business communication skills. With three courses ...

This course introduces the information and techniques for analytical practice in professional planning. The fourth number of the course code shows the level of the course. For example, in course ...

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MiM), Global MSc in Management (MBA Exchange), MPhil/PhD in Demography/Population Studies, MSc in Applied ...

Through a series of examples and practical hands-on exercises you will explore the five-step disaster risk analytics workflow, discovering how to assess the fiscal impact of disasters and how DRF ...

Throughout the season, we’ll delve into each topic to showcase the new statistics and offer new insights into how players and teams are performing through a new lens of analysis. Stay tuned each ...