This course focuses on practical methods to extract meaningful insights from (internal and external) data sources and to communicate those findings to stakeholders. Students will use relevant tools, technologies and approaches for data manipulation, statistical analysis, predictive modeling, and visualization in case studies/projects. Students will use analytics tools and scripting languages for the implementation of projects. Some example languages/tools introduced are: Python and Tableau. Prior knowledge of scripting languages such as Python or R will be helpful - but not required.