ScaDS.AI Dresden/Leipzig offers you a wide variety of trainings. The offers of the Transfer and Service Center are aimed at scientists, students, and especially non-scientific users. Within teaching and training, both technical and methodological priorities are set. The technical focus of our trainings includes tools for data analysis, distributed computing, and machine learning such as R, Python, Spark, Flink, Tensorflow or Keras. On the other hand, the use of tools with the help of containers and virtual machines plays a role. In addition, knowledge is imparted to use HPC resources in specific use cases. The methodological focus includes instruction in methods of data analysis, statistics, and machine learning.

Topics

Big Data Processing on HPC

Data Analysis – Data Preparation

Data Analysis – Pandas vs. Excel

Data Preparation for Data Analysis I

Data Preparation for Data Analysis II

Data Visualization

Excel vs Pandas

Hyperparameter Optimization with OmniOpt on HPC

Jupyter, NumPy and Pandas

JupyterHub on HPC

Machine Learning for Beginners

Machine Learning on HPC

Machine Learning – Predicting Properties on Spotify Data

R on HPC

ScaDS.AI Dresden/Leipzig cooperates with the National High Performance Computing (NHR). For more information, please refer to the overview of available NHR trainings at TUD Dresden University of Technology.

Overview of all trainings