How I turned my non-technical students into data analyst heroes thanks to no-code AI tools

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Last year when I was asked to teach a course of AI & Data analytics in Marketing to non-technical students I really wanted to make sure that my students would understand the outstanding extra-value of applying AI to business. Due to my scientific background using computational intelligence, I was convinced that the best way to understand the value of AI should be taught through practical exercises and projects using no-coding tools. The challenge was very exciting: give an overview to the students without programming skills on what is Artificial Intelligence and how it can be used in fields such as Marketing or Business.

This course aims at experimenting the professional journey of a data analyst, a position that the students could apply for at the end of their studies….

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Authors

Researchers, teachers, experts... meet the people who bring our content to life.

Julien Farhat

1 article

Chercheur doctorant en finance d'entreprise, diplômé de SKEMA Business School.

Ludovic Dibiaggio

2 articles

Directeur du centre de recherche Knowledge, Technology, and Organisation (KTO) de SKEMA Business School

Marcos Lima

4 articles

Marcos Lima, Professeur de Marketing, SKEMA Centre for Artificial Intelligence (SCAI), SKEMA Business School - Université Côte d'Azur, GREDEG

Emmanuel Combe

4 articles

Professeur d'économie, Centre de recherche RISE, SKEMA Business School - Université Côte d'Azur, France. Vice-Président de l’Autorité de la concurrence.

Shirine Dekimeche

2 articles

Student at SKEMA Business School, Programme Grande Ecole and Msc Corporate Financial Management.

Lionel Nesta

3 articles

Lionel Nesta, Professeur des Universités et membre du GREDEG (CNRS- Université Côte d’Azur), Chercheur associé OFCE-SciencesPo, Professeur affilié et chercheur...

Laura Couppié

2 articles

Student of the Mastère Spécialisé® Manager des Projets et Programmes​, SKEMA Business School.

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