Knowledge

The student...

can understand data science related concepts related to the use of health data practices in organizations
can understand and explain the fundamental principles of a data pipeline, while explaining various methodologies and techniques at each stage, demonstrating their practical relevance through real-world applications and case studies
can describe the key challenges and opportunities in health data analysis, including issues related to data quality and ethical considerations ie, data sharing, anonymity, and reuse

Skills

The student...

can proficiently preprocess and manage real-world datasets, including data cleaning, transformation, and integration
can demonstrate familiarity with specific health data standards and apply them in relevant contexts and projects
can apply advanced statistical and machine learning techniques to analyze and extract insights from complex, real-world datasets
can effectively communicate data-driven insights through data visualization, using appropriate tools and methods, including the integration and analysis of health datasets for meaningful insights

General competence

The student...

can engage in informed discussions regarding successful real-world applications of data science across various societal contexts
can demonstrate an awareness of the ethical considerations and potential societal impacts associated with data science projects and engage in ethical decision-making within the field
can analyze and discuss the impact of health data analysis on healthcare policy and decision-making
can collaborate effectively in interdisciplinary teams to address health-related data challenges

Subject description DSP5100

Health Data Analytics