Year 1 - Foundation

Block D - Team-based Working
Block C - Data Modelling
Block B - Data Understanding and Preparation
Block A - Business Understanding

Year 2 - Role Orientation

Block A - Analytics Translator
Block C - Artificial Intelligence Scientist -Speech and Language
Block D - Engineer - MLOps
Block B - Artificial Intelligence Scientist - Vision

Ask me Anything
DataLab Absence

Markdown Sample Documentation

Example code Documentation

Content Documentation

Sociology
- 1. Sociology (optional)
Agile Project Management
Business Intelligence
Time Series
- 1. Time Series (optional)
Data Science
Mathematics I: Linear Algebra and AI
Introduction to Machine Learning
Responsible and Explainable AI
Artificial Intelligence
Human-Centered Artificial intelligence
Deep Learning
Geospatial Analytics
- 1. Workshop: Building a weather station
- 1. Geospatial analytics (optional)
Programming in Python
Digital Transformation

Study Content
Mathematics I
README.md

Mathematics I: Linear Algebra and AI

Introduction to Linear Algebra
Elementary Operations on Matrices
Matrix Multiplication and inversion
Data Lab 1: Elementary Operations on Matrices
Linear algebra applied to Linear Systems
Linear Algebra and Linear models
Data Lab 2: Creative Brief
Data Lab 3: Creative Brief
Linear Algebra and Image Processing I
Linear Algebra and Image Processing II

2023,Applied Data Science and Artificial Intelligence @ Breda University of Applied Sciences

Contact : Frank Peters