An organization's raw data only generates value when translated into reliable decision-making intelligence. This five-week intensive program navigates every stage of modern applied Data Science: structuring end-to-end data pipelines, mastering deep learning architectures, and applying Natural Language Processing to extract insight from institutional knowledge.
What you will gain
- Full lifecycle of modern Data Science
- Applied neural networks & Deep Learning
- NLP architectures & real-world projects
Target outcomes
- Master the end-to-end data science development lifecycle
- Deploy machine learning and neural deep learning models
- Build natural language processing text analysis pipelines
- Deliver an industrial data science project
Prerequisites
- Programming foundations. Basic statistics and probability knowledge.
Detailed Curriculum
5-week applied cursus spanning data science, modeling, and text:
- W1 — Data Science Lifecycle & Advanced Exploratory Data Analysis.
- W2 — Machine Learning Feature Engineering & Pipeline Construction.
- W3 — Deep Learning & Neural Network Architectures.
- W4 — Natural Language Processing (NLP) & Text Embeddings.
- W5 — Assessment, Capstone Project Evaluation & Review.
Data Science Use Cases
Applied data science projects:
- End-to-end automated data ingestion, cleaning, and modeling pipeline
- NLP text categorization and semantic information extraction model
- Industrial-grade data science capstone project defended successfully
Deliverables & Transversal Modules
Deliverable: Official AI HUB Certificate + Capstone Data Science Project.
Transversal modules: Ethics & EU AI Act.
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Instructor
Souad Eddarouich
Senior Data Scientist & NLP Researcher
This training is designed to quickly turn understanding into execution capacity, with a clear, concrete and directly applicable format.
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Support Instructor
Otman Nouri
Data Science & MLOps Lead
This instructor participates in delivery and support to ensure personalized guidance for each student.
