Foundation in Data Science' offers a comprehensive journey through the intricacies of data science processes, with a focus on financial applications. This course introduces doctoral candidates to a diverse array of topics and concepts essential for navigating technical pipelines, ranging from data collection and data cleaning to visualization and extracting managerial insights for analyzing the data in the decision-making process. Candidates will explore methodologies for efficient data collection, learn techniques for processing and cleaning heterogeneous datasets, and delve into advanced analytical methods to generate insights. Additionally, candidates will learn to visualize data effectively to communicate findings and drive informed decision-making. By the end of this course, candidates will have a solid understanding of the fundamental principles that underpin the data science discipline, enabling to tackle real-world challenges in the financial domain.