Abstract: We rely on data for everything and assume that algorithms will give us the correct answer to everything. In this session, we will explore the concept of data bias and its impact on our understanding and perception of the world. Data bias refers to the hidden influences and prejudices that can be present in the data we collect and analyze. It can occur due to various factors, such as the way data is collected, the sample size, or the inherent biases of the people involved in the process. You will learn how data bias can affect our lives in various domains. By relying on biased data, we risk perpetuating unfair practices and reinforcing existing inequalities. When thinking about data it is crucial to recognize and address data bias to ensure fairness and accuracy in our analyses.