Data science

The fundamental skills to extract insights from data and communicate them effectively

DATE SCIENCE FOR EVERYONE

Analyse quantitative data, draw useful information, and effectively present tables, graphs, dashboards and statistics. You don't need to have an MSc/PhD in statistics to do that.

Analyse and present data insights

Basic element of descriptive and predictive statistics. Representation of quantitative data through charts and dashboards. Within everyone's reach.
Basics of data science and statistics

This course is intended to provide the basic and practical knowledge of statistics for those who are involved in managing, analysing and presenting quantitative information. During the course, some statistical tools will be used to show how to translate into immediate practical application the concepts presented.
Duration: in-class (two days); online (four half-day modules).

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Evidence Based Management

Evidence-based is a term initially coined in the 90s in the field of medicine, but today its principles extend to disciplines such as education, criminology, public policies, social work and (recently) management. EBM helps managers, or the individuals acting on their behalf, to research and critically evaluate the validity, generalizability and applicability of the evidence available.
Duration: in-class (two days); online (four half-day modules).

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Presenting graphs and dashboards

The use of tables, graphs and dashboards to communicate quantitative information is a common practice and always required in the business world. It's a need for every managerial function (budgets, forecasts, economic plans, investments, cost structures, sales, tableau de bord). Through this course, you will learn how perception works from a neuroscientific point of view and which graphic tools to use according to the message you want to communicate or the situation you want to represent.
Duration: in-class (two days); online (four half-day modules).

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