Formation
Expert en sciences des données spécialité Data Science and Artificial Intelligence
- Tout public
- Affiner les compétences en mathématiques appliquées
- Comprendre les algorithmes de l'IA
- Mettre en œuvre les architectures IT et Big Data
- Comprendre la gestion de projets IT et les aspects juridiques
- Comprendre les algorithmes de l'IA
- Mettre en œuvre les architectures IT et Big Data
- Comprendre la gestion de projets IT et les aspects juridiques
Warmup Courses (75hrs) - 6 ECTS
Core Data Science & AI - 190 Hours / 24 ECTS :
- Applied Mathematics for Data Science (25hrs) - 3 ECTS
- Foundations of Statistical Analysis and Machine Learning Part 1 (25hrs) - 3 ECTS
- Foundations of Statistical Analysis Machine Learning Part 2 (40hrs) - 4 ECTS
- Time-Series Analysis (25hrs) – 3 ECTS
- SAS "The SAS Ecosystem DSTI Chair" (25hrs) - 3 ECTS
- Continuous Optimization (25hrs) - 4 ECTS
- Artificial Neural Networks (25hrs) - 4 ECTS
Core Data Engineering - 250 Hours / 24 ECTS :
- Software Engineering - Part 1 (25hrs) - 2 ECTS
- Software Engineering - Part 2 (25hrs) - 3 ECTS
- Python Machine Learning Labs (25hrs) - 4 ECTS
- MLOps by Adaltas (50hrs) - 4 ECTS
- Data Wrangling with SQL (25hrs) - 3 ECTS
- Amazon AWS “Cloud-Computing DSTI Chair” (50hrs) - 4 ECTS
- Big Data Ecosystem by Adaltas (50 hrs) - 4 ECTS
Applied Data Science & AI - 210 Hours / 32 ECTS :
- Advanced Statistical Analysis and Machine Learning (35hrs) - 4 ECTS
- Statistical Analysis of Massive and High-Dimensional Data (25hrs) - 4 ECTS
- Survival Analysis Using R (25hrs) - 4 ECTS
- Inverse Problems & Data Assimilation (25hrs) - 4 ECTS
- NoSQL databases for Graph-based Modelling (25hrs) - 4 ECTS
- Deep Learning (25hrs) - 4 ECTS
- Agent-Based Modelling (25hrs) - 4 ECTS
- Semantic Web technologies for Data Science developments (25hrs) - 4 ECTS
Operational Methodologies (50hrs) – 4 ECTS :
- Data Laws & Regulations – Philosophies, Geopolitics & Ethics (25hrs) - 2 ECTS
- IT Project Management – PMP-PMI and Agile Approaches (25hrs) - 2 ECTS
65 Hours of Support Sessions
Core Data Science & AI - 190 Hours / 24 ECTS :
- Applied Mathematics for Data Science (25hrs) - 3 ECTS
- Foundations of Statistical Analysis and Machine Learning Part 1 (25hrs) - 3 ECTS
- Foundations of Statistical Analysis Machine Learning Part 2 (40hrs) - 4 ECTS
- Time-Series Analysis (25hrs) – 3 ECTS
- SAS "The SAS Ecosystem DSTI Chair" (25hrs) - 3 ECTS
- Continuous Optimization (25hrs) - 4 ECTS
- Artificial Neural Networks (25hrs) - 4 ECTS
Core Data Engineering - 250 Hours / 24 ECTS :
- Software Engineering - Part 1 (25hrs) - 2 ECTS
- Software Engineering - Part 2 (25hrs) - 3 ECTS
- Python Machine Learning Labs (25hrs) - 4 ECTS
- MLOps by Adaltas (50hrs) - 4 ECTS
- Data Wrangling with SQL (25hrs) - 3 ECTS
- Amazon AWS “Cloud-Computing DSTI Chair” (50hrs) - 4 ECTS
- Big Data Ecosystem by Adaltas (50 hrs) - 4 ECTS
Applied Data Science & AI - 210 Hours / 32 ECTS :
- Advanced Statistical Analysis and Machine Learning (35hrs) - 4 ECTS
- Statistical Analysis of Massive and High-Dimensional Data (25hrs) - 4 ECTS
- Survival Analysis Using R (25hrs) - 4 ECTS
- Inverse Problems & Data Assimilation (25hrs) - 4 ECTS
- NoSQL databases for Graph-based Modelling (25hrs) - 4 ECTS
- Deep Learning (25hrs) - 4 ECTS
- Agent-Based Modelling (25hrs) - 4 ECTS
- Semantic Web technologies for Data Science developments (25hrs) - 4 ECTS
Operational Methodologies (50hrs) – 4 ECTS :
- Data Laws & Regulations – Philosophies, Geopolitics & Ethics (25hrs) - 2 ECTS
- IT Project Management – PMP-PMI and Agile Approaches (25hrs) - 2 ECTS
65 Hours of Support Sessions
Bac +3 ou Bac+4
Durée en centre : 840 heures
Durée en entreprise : 889 heures
Durée totale : 1729 heures
15 Mois
Durée en entreprise : 889 heures
Durée totale : 1729 heures
15 Mois
Formacode (Domaines de formation) :
- 31025 Analyse de données
- 31052 Data Warehouse
- M1403 Études et prospectives socio-économiques
- M1802 Expertise et support en systèmes d'information
- M1805 Études et développement informatique
- M1806 Conseil et maîtrise d'ouvrage en systèmes d'information
- 114 Mathématiques
CertifInfo 107213
- RNCP34262, Date d'échéance : 10/10/2024
CERTIFICATION TOTALE
Data ScienceTech Institute
950 route des Colles
Les Templiers
06410 BIOT
950 route des Colles
Les Templiers
06410 BIOT
04 89 41 29 44
Modalités pédagogiques
Campus DSTI de Sophia-Antipolis
Entrées/sorties à dates fixes
Formation mixte
Niveau de sortie : Bac + 5 et plus
LIEU DE FORMATION
Data ScienceTech Institute
950 route des Colles
Les Templiers
06410 BIOT
950 route des Colles
Les Templiers
06410 BIOT
04 89 41 29 44
Organisme formateur :
Data ScienceTech Institute
Data ScienceTech Institute
DSTI