Explores the definition and components of information systems, emphasizing their role in collecting, processing, and distributing information.
Explores Big Data generation, storage, processing, and dimensions, along with challenges in data analytics, cloud computing elasticity, and security.
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Delves into historical Big Data, exploring data acceleration regimes and the challenges of redocumenting past datasets.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
