Specialization course II (industry focus)

Module title:

Specialization course II (industry focus)

Module overview:

This module aims to equip students with the knowledge and skills necessary to apply data science and artificial intelligence concepts in real-world projects within one specific domain. Throughout the course, students will focus on developing expertise in data analysis, machine learning, and predictive modeling techniques tailored specifically to domain applications. By completing this project-oriented course, students will gain practical experience and confidence in utilizing data-driven approaches to address challenges in the specific industry.
In this module students will:
explore foundational domain concepts, including data sources, data types, and data quality assessment methods
learn advanced data preprocessing techniques tailored to domain datasets and feature engineering
cover a range of machine learning algorithms commonly used in domain context
engage in hands-on projects where they will apply their knowledge and skills in the real-world domain

Literature:

Required readings:
1. Liebregts, W., Heuvel, W. J., Born, A. (2023). Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society, Springer Cham

Supplementary readings:
1. Taddy, M., Hendrix, L., and Harding, M. (2022). Modern Business Analytics. McGraw-Hill Companies.