Data Science Training

The Beginning

Whether for evaluation, forecasting or visualization - those who make use of data will be one step ahead in the age of data economy. We’ll meet on three dates: Thursday 14.6.2018, Wednesday 20.06.2018 and Wednesday 27.06.2018. This course provides a basic introduction to data analysis. You will learn basic methods of classification and regression and gain practical experience in the data analysis platform KNIME.

What you will learn

Session 1:

• Basic concepts of Data Analytics

• The data analysis process

• Introduction to the tool KNIME

Session 2:

• Classification

Session 3:

• Regression Analysis

What you will get

The aim of Big Data is to uncover new potentials and to raise existing “data treasures” even in new contexts. This course gives you an introduction to the methodology of data analysis. You can also meet two experts in AI and Business Intelligence from Siemens AG.

Your Teachers

Siemens AG is a sponsor of moinworld in Munich and provides us with two of its experts for digitization training.

Daniela Oelke is a research scientist in the research group “Information Integration & Business Intelligence” at Siemens Corporate Technology and senior key expert for “Explainable Artificial Intelligence / Visual Analytics”. She acts as a trainer for several data analysis courses (basic and advanced trainings) at Siemens. Prior to Siemens she worked for the DIPF (the German Institute for Educational Research) in Frankfurt and was a PostDoc at the University of Konstanz where she also did her PhD in Visual Document Analysis.

Ariane Sutor is head of the research group “Information Integration & Business Intelligence” at Siemens Corporate Technology, Siemens’ global research organization. Moreover she is speaker of the Siemens program on “AI-driven Enterprise” which aims at making company core processes smarter. Prior she held several different roles within Siemens research and she worked for the European Institute of Innovation and Technology as leader of the action line “Smart Energy Systems”. Ariane’s current interests focus on visual analytics and explainable AI, creating transparency on AI in technical applications. She holds a master’s degree in mathematics from TU Munich and a PhD.