Created by:  ESSEC Business School

  • Nicolas Glady

    Taught by:  Nicolas Glady , Associate professor, at ESSEC Business School

    Marketing Department
Basic Info
Commitment4 weeks of study, 2-3 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
Syllabus

FAQs
How It Works
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Certificats
Certificats

Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

Creators
ESSEC Business School
For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. Its ultimate goal? To create a global world that has meaning for us all.
Pricing
Acheter le coursAuditeur libre
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Recevoir une Note Finale

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Obtenir un Certificat de Cours partageable

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Ratings and Reviews
Rated 4.4 out of 5 of 321 ratings

Prof. Glady is an excellent lecturer. The course is very well produced, and the recitals were a great introduction to using code to solve business questions.

Very good course. As a business person interested in analytics, itwas a good overview. However, I would have wished for a link to an R Course you can recommend.

Also, it would be interesting to see the quantile next to my grade.

Thanks a lot

I had a good understanding of R, regression & classification algorithms. I found this course very helpful in understanding how those methods can be implemented in analyzing various business problems for strategic planning.

Some of the recitals are a little off and glaze over essential details. But, as a pragmatic and practical introduction to advanced techniques in R, I've not come across a better course. Very highly recommended.