Data Science

Business impact through effective data handling

In times of digitalization, where buzzwords such as Business Intelligence (BI) and Marketing Automation are omnipresent, companies are confronted with huge challenges: How can they optimize their decision-making-process on the basis of an unimaginable mass of data, originating from a variety of sources? The answer lies in data science. To meet this need WU's executive academy has designed a cutting edge program on data science. In just a few months, you will get to know the tools, techniques, and fundamental concepts that you need to know in order to make an impact as a data scientist. You will learn how to unleash the potential of unused data resources within your enterprise - and how to approach this. During the course of the program, you will work through real-life case studies, with datasets from different domains (e.g. marketing, supply chain management) and will gain experience across the entire data science process: explorative data analysis, data munging, modelling, validation and cleansing, visualization, and communication.

Taking your skills to the next level

This applied program takes your data skills to the next level, shows you how to build big data pipelines as well as analytics processes and how to apply what you have learned in the context of real projects. At the end of the program, you will be able to apply all the methods dealt with and will have gathered an overview about the opportunities that open up as a data scientist.

“Data Science” will guide you and your company to the future and provide you with the knowledge and skills necessary to be your organization’s data scientist. Help your company to get on the fast lane – master the big data challenge!

Topics

Module 1: What is Data Science? Concepts & Application Domains (4 Days)

• Overview of data science concepts and use cases in different business application Domains (e.g. marketing, supply chain Management, production Management, process Management, finance)
• Data processing and data analytics: Concepts & methods
• Presentation of selected data science projects and scenarios in depth

Module 2: From Data Science to Big Data (4 Days)

• Data science Project kick-off
• Legal and ethical foundations and data security
• Big data methods and algorithms
• Data Workflows, Distribution, advanced techniques (e.g. semantic Technologies, text extraction)
• Commercial data science tools fair
• Advanced data analytics

Module 3: Data Science in Practice and in the Future (4 Days)

• Data processing and data analytics trends and Outlook
• Application of data science
• Special guest talks by distinguished academic Speakers and experienced experts from practice
• Data science project presentations

Certificate

After completing the course, you will receive a certificate including course details from the WU Executive Academy.