Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.
Explores the significance of data models in scientific research and the challenges posed by big data.
Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
