Data Science and Artificial Intelligence

Data Visualization and -presentation

Integrated course, 5.00 ECTS

 

Course content

Introduction to Visual Business Analytics, Information Design, Visual Business Intelligence and Visual Analytics; Visualization of Data and Information
Reporting and Information Design; Chart types and properties; "Clean up", transformation and combination of data from multiple sources; Self-service business intelligence; Interactive visualization and dashboards; Mobile representations of the evaluations; Cloud-based BI Services (Microsoft Power BI)

Learning outcomes

Modern visualization concepts support companies in the efficient and timely analysis of large and diverse amounts of data in order to be able to make predictions and precise decisions. Students gain in-depth knowledge and a hands-on overview of visual business analytics and its three main areas: Information Design, Visual Business Intelligence and Visual Analytics. They know the different diagram types and understand which forms of representation are suitable in the respective application cases in order to depict complex relationships and decision-relevant information meaningfully. Students are able to build a service architecture that meets the requirements, to connect, link, visualize and distribute diverse data from a wide variety of data sources in interactive presentations. They can optimize ad-hoc-analytics and create engaging reports for enterprise-wide and cross-device usage.

Recommended or required reading and other learning resources / tools

Books: Kohlhammer et. al. (2013): Visual Business Analytics. Effektiver Zugang zu Daten und Informationen (Edition TDWI). 1. Aufl. Heidelberg: dpunkt.verlag GmbH; Pientka, Frank (2014): Big Data. Schimmen lernen im Datenmeer. In: Parthier, Ulrich (Hrsg.): Beyond Business Intelligence & Big Data. Aying: IT Verlag für Informationstechnik GmbH, 7 – 11. Freiknecht, Jonas (2014): Big Data in der Praxis. Lösungen mit Hadoop, Hbase und Hive. Daten speichern, aufbereiten, visualisieren. München: Carl Hanser Verlag. Eckerson, W., Hammond, M.: Visual Reporting and Analysis – Seeing is Knowing. TDWI, Renton (2011)
Journals: various articles and online documentaries

Mode of delivery

1 THW Lecture, 2 THW Tutorial

Prerequisites and co-requisites

Knowledge from the module CLOUD1, IT Infrastructure basics

Assessment methods and criteria

Lecture: final exam, Tutorial: continuous appraisal