Topic 1: What is Data Science?

Data science is an interdisciplinary field that combines techniques, methodologies, and tools from various domains to extract insights, patterns, and knowledge from data. It involves collecting, cleaning, and analyzing data to derive meaningful insights and support decision-making. Data scientists use a combination of statistical analysis, machine learning, data visualization, and domain expertise to solve complex problems and uncover hidden trends in data.

As Arno Siebes argues in his paper “Data science as a language: challenges for computer science—a position paper”, “Data Science marks the advent of datafied research in all academic research areas”, indicating the importance of data science for research, regardless of discipline (Siebes, 2018).