Formation Professionnelle et Certifiante
Aperçu du programme :
Data science is one of the most sought-after skills in the workplace today. This program is a flexible 6-month program that prepares you for landing a role in this dynamic and exciting industry. The program includes twelve courses covering five important topics under data science, including mathematical foundations, data warehousing, programming languages and platforms, machine learning, and data visualization. Focus is clearly placed on marching learning algorithms and their applications.
Through a hybrid learning approach mixing access to quality online content from world leading universities (Coursera) and on-campus practical live discussions, group projects, real case studies, and hands-on labs, at the completion of this course, you will be ready to land a data scientist job or to markedly improve your productivity in your current data analytics role.
Ce programme suppose que les participants possèdent des compétences de base en programmation dans un langage de programmation général, idéalement Python, et qu'ils maîtrisent les bases du calcul et de l'algèbre linéaire.
Détails du programme:
Dates | Starts TBA. 6-month program. 4 hours of study a week ( 2 independent online, 2 live sessions ) |
Langue | Français et anglais |
Format | – Access to quality online content from MUST & Coursera. – Practical labs offering hands-on sessions with a MUST Professor
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Dernier délai d’inscription | TBA. |
Emplacement | MUST University, Lac3, Tunis. |
Coût | 2800 TND |
Thèmes du programme :
- Mathematical foundations of Data Science
- Statistical inference for Data Science
- Linear Algebra for data science.
- Data mining fundamentals
- Relational & unstructured data processing.
- Data warehousing.
- Programming languages & platforms
- Python for Data Science.
- Data Analytics with R.
- Big Data processing.
- Machine Learning
- Intro to AI & machine learning.
- Supervised learning algorithms.
- Unsupervised learning algorithms.
- Deep learning algorithms.
- Data Visualization
- Data Visualization with R & Tableau.
Formateur(s) :
- TBD
Inscription :
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