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

Yujie Cai

2 articles

Associate Professor of Human Resource Management, SKEMA Business School.

Léa Riccoboni

2 articles

Graduate of the programme Grande Ecole (PGE) and the MSc International Business de SKEMA Business School ; professional triathlete.

Adam Ouayda

2 articles

Etudiant en Master DDA à SKEMA Business School

Alican Mecit

1 article

Assistant professor of Marketing, SKEMA Business School. 

Isabella Soscia

3 articles

Director of the Marketing Interactions (MINT) research centre at SKEMA Business School.

Bastien Buchwalter

9 articles

Professor and researcher in Finance at SKEMA Business School, member of the ‘Finance & Accounting Insights on Risk and Regulation’...

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