The objective of the module is to qualify the student to apply data science methods in a structured manner, extract inferential knowledge from a dataset, and make probabilistic forecasts. In addition, the student must be able to report on the findings and make use of visualization.

The objective is to give the student knowledge of :
• various definitions of the field of data science
• designing experiments for data collection
• using a framework for numerical computations
• using a framework for general data analysis
• using a framework for descriptive and inferential statistical analysis
• using a framework for probabilistic forecasting
• a variety of data analysis algorithms and their applications

The objective is that the student will have acquired the ability to:
• collect data from a variety of sources
• organize data to prepare for analysis
• explore data to gain insights
• apply basic descriptive and inferential statistics
• make forecasts using probabilistic machine learning tools
• use methods to facilitate reproducibility
• communicate findings in a written report, using visualizations

• The objective is that the student will have acquired proficiency in participating and contributing in data science projects