Supercomputing Academy: Data Analysis with HPC

This course has been recently updated to incorporate the latest advancements in data analysis, machine learning (ML), and High-Performance Computing (HPC) , providing participants with cutting-edge knowledge and practical skills. In the era driven by big data and artificial intelligence (AI), data analysis skills have become essential across all fields. The ability to effectively analyze large-scale datasets and extract valuable insights is increasingly indispensable for both researchers and industry professionals. 

This course is systematically designed for researchers and practitioners aiming to efficiently leverage data analysis and AI techniques within an HPC environment or on high-performance local computing setups . The comprehensive curriculum covers foundational concepts of data analysis, application of machine learning algorithms, big data architectures, and the latest trends in technology.

With an emphasis on hands-on practice, the course bridges theoretical knowledge with practical applications. Participants will gain hands-on experience through structured exercises on diverse datasets , covering the entire workflow of data analysis from preprocessing and feature engineering to building machine learning models and performance evaluation. This practical approach ensures participants develop the necessary skills immediately applicable to real-world scenarios.