The goal of this course is to introduce students to the data scientist toolkit and its core concepts. Upon successful completion of this course, students will be able to: ● Understand data science terminologies ● Experiment data science tools for data analytics, big data etc. ● Familiarize to the concept of No-SQL database To support the learning objective, the coursework will include exercises and resources in which students will use face and solve real world problems.

Temps présentiel : 25 heures

Charge de travail étudiant : 100 heures

Méthode(s) d'évaluation : Evaluation - Examen final, Evaluation - Examen partiel

Référence :
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Andrew Bruce, Peter C. Bruce, and Peter Gedeck, 2017