Data science for Business Performance

Inter-company training

Who is the training for?

Managers with at least 3 years of managerial experience, willingness to implement data management solutions in their department or business.

Duration

32,00 hours(s)

Language(s) of service

EN

Prerequisites

Degree in management or equivalent is not required.
Basic understanding of statistics.

Goals

The best from Solvay Brussels School's existing MBA and executive programs to offer you an introduction to the most important aspects of business analytics (business, technical, analytical, the strategic and tactical business facets, communication, and project management).

This Data Science for Business Performance executive program illustrates the future of executive education. It’s a fast-paced course combining both management skills and concrete business cases with a top European business school’s know-how and participant interaction.

The Solvay Brussels School represents over 600 respected international academics. Firmly rooted in the business world, they truly understand the issues faced every day and the aspirations shared by all managers and entrepreneurs.

This action-oriented learning experience helps participants articulate their leadership intuition, acknowledge the efficiency dimension of any organisational situation and develop synergies within their teams, while also building a rich business vocabulary.

This high-level programme is designed to use our collaborators’ personal experiences to their best advantage, offering up-to-date content and helping companies succeed in a dynamic environment like Luxembourg today. Capitalising on the success of similar programmes we run, our principal objective remains to challenge and assist you as you redefine your future professional path.

Our faculty has designed this program to nurture functional cross-fertilisation between the members of your business and business-reporting-IT teams, as well as sectorial cross-fertilisation by collaborating with participants working in different industries from your own. Leaders will leave the program with practical skills and tools that can be immediately put to use in the workplace.

Contents

Day 1 ANALYTICAL THINKING

  • Data Analytical Thinking
  • From Marketing Problems to Data Science Solutions 14th November Thursday Workshop 1: Data eco-system in marketing

Day 2: DESCRIPTIVE ANALYTICS

  • Unsupervised Learning: Clustering and Market Basket Analysis
  • Guest speaker 1: "Analytics and Digital Marketing"
  • Data Visualisation Workshop 2: Practising Data Vizualisation

Day 3: PREDICTIVE ANALYTICS & THE ANALYTICAL ADVANTAGE

  • Supervised Learning: Classification and Regression
  • Guest Speaker 2: "Analytics, Risk and Fraud" Workshop 3: Evaluating a Predictive Analytics Project Proposal
  • The Analytical Advantage Day 4: ADVANCED ANALYTICS AND NEXT STEPS
  • Unstructured Data Techniques Workshop 4: Inspirational World CaféWorkshop 5: Evaluating the data maturity of your organisation
  • Preparing a development plan and some next steps

Certificate, diploma

At the end of the course, participants will receive a certificate of attendance issued by the House of Training and Solvay Lifelong Learning.

Additional information

This four-day program is delivered twice a week over a two-month period. With the number of participants limited to 20, this ensures a highly interactive and intensive experience with executive exchange and knowledge transfer. In such economically turbulent times, it’s important to focus on growth, invest in management and harness change, creating strong leaders equipped to steer through such future uncertainty and taking advantage of the data management and analytics. Together with the solid international reputation and established faculty of Solvay Brussels School, we present a Data Science for Business Performance executive program that offers training excellence in Luxembourg.

MARTINE GEORGE

Professor of Management Practice
Solvay Brussels School

Martine George is Professor of Management Practice at Solvay Brussels School where she teaches Data Science in Master and Advanced Master programs. In addition, she is also the Academic Director of the Executive Program in Business Analytics at Solvay Brussels School.
She has over 25 years of professional experience, including 15 spent creating and developing business analytics and customer intelligence teams within large organizations (Tractebel, Proximus, Bpost, ING, BNP Paribas Fortis) from different industries (energy, telco’s, logistics, financial services).

She is regularly invited as a speaker and expert in events related to business analytics abroad.
She holds a PhD in Physics from Université Libre de Bruxelles, a MBA from Edinburgh Business School and Executive Education credentials from IMD, Lausanne, and The Wharton School, Philadelphia, PA, US.
Passionate about developing talent and organizations in business analytics, she is also ICF professional certified coach, facilitator and consultant.
Area(s) of expertise: data science, business analytics for managers, digital transformation, soft skills for experts & quants, executive coaching.

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