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Executive Education: Open Programmes

Modern Business Analytics
Vlasios Voudouris
Short programme
Duration: 2 days
Language: English
Campus: London
Dates: May 2018

Taught by:

Dr Vlasios Voudouris
Affiliate Professor and European Academic Director of the Executive Master in Energy Management

All enquiries:

Francesco Morrone

Deputy Head of Executive Education
Mobile: +44 (0)7702 930635
Office: +44 (0)20 7443 8816
Email

Objectives


The key objective of the Modern Business Analytics course is to enhance your skills in applied quantitative methods and understand the role of data-based business modelling and decision-making.

Admission Criteria


All enquiries:

Francesco Morrone
Deputy Head of Executive Education
Mobile: +44 (0)7702 930635
Office: +44 (0)20 7443 8816
Email

Academic Direction


Dr. Vlasios Voudouris
is the CEO of ABM Analytics Ltd. He is an Affiliate Professor (energy & commodities) at ESCP Europe's London campus, where he contributes to the Research Centre for Energy Management (RCEM), teaches on the Master in Energy Management and various Executive programmes. He is the European Academic Director of the Executive Master in Energy Management.

He is best known for his work on agent-based, fundamentally driven models that focus on energy & commodities market dynamics to support risk-adjusted investments decisions in energy & commodities.

Vlasios obtained his BA in Economics from the Aristotle University of Thessaloniki (Greece) and his MSc and PhD from City University London (UK). He has published numerous articles in academic journals and professional magazines with a focus on energy policy, oil and gas markets, scenario analysis, agent-based models, applied econometrics, business forecasting and risk management. Vlasios is also co-Editor of the Oil and Gas Prospects SI at the Energy Policy Journal and co-Editor of the book Global Energy Policy and Security, published by Springer.

Vlasios also contributes to world-impacting events such as focused roundtable discussions organised by Chatham House and the Pacific Energy Summmit following the invitation by the US National Bureau of Asian Research. He led the policy report Investment opportunities in Greece: Oil, gas, electricity and renewables for KEPE (under the Ministry of Regional Development and Competitiveness) while contributing at the House of Commons Energy and Climate Change Select Committee inquiry The UK's Energy Supply: Security or Independence?

Fees and financing


Registration fee for participants is £2,500.
Early bird discount 10% applicable until the end of April.
Discounts for PhD students available upon request.

Category

Discount

B2B

10%

ESCP Europe Alumni

10%


Key points
  1. Development of flexible regression models to explore causal and predictive relationships
  2. Development of visual analytics methods to synthesise data and make better informed decisions
  3. Application of business analytics to managerial functions within an organisation such as quantitative risk analysis
  4. Fundamentals of the R statistical programming language for business analytics 
  5. The computer workshops will use the R software for statistical computing and/or interactive visualisation tools.  All required course materials will be distributed as the course progresses
Content

Learning Outcomes
This workshop will enhance your skills in business intelligence through the study of data by means of modern quantitative frameworks. You will also gain experience in business programming.


Pedagogical Approach
The course is organised as a problem-based workshop whereby participants structure their learning activities in response to a specific real-world problem or task. As such, the course gives you the opportunity to develop both subject-specific and transferable skills. As a result of the problem-based learning approach, leading-edge modelling techniques are presented in an intuitive way with the minimum of theoretical statistics and mathematics.

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