- Dozent/in: Hannes Huttelmaier
- Dozent/in: Galina Shendrick
- Dozent/in: Hannes Huttelmaier
This is an IBM driven course covering Data Science. Data science is a multidisciplinary approach to extracting actionable insights from the large and ever-increasing volumes of data collected and created by today's organizations. Data science encompasses preparing data for analysis and processing, performing advanced data analysis, and presenting the results to reveal patterns and enable stakeholders to draw informed conclusions.
Data preparation can involve cleansing, aggregating, and manipulating it to be ready for specific types of processing. Analysis requires the development and use of algorithms, analytics, and AI models. It's driven by software that combs through data to find patterns within to transform these patterns into predictions that support business decision-making. The accuracy of these predictions must be validated through scientifically designed tests and experiments. And the results should be shared through the skillful use of data visualization tools that make it possible for anyone to see the patterns and understand trends.
- Dozent/in: Hannes Huttelmaier
- Dozent/in: Peik Bremer
- Dozent/in: Hannes Huttelmaier