The process of examining large and complex data sets to extract valuable insights and patterns, often requiring specialized tools and techniques.
The application of statistical methods to analyze and interpret data related to biological and health-related research, supporting informed decision-making in the medical and life sciences fields.
The development of software applications and algorithms used in data analysis, involving writing, testing, and maintaining code for data-related tasks.
The use of statistical and mathematical techniques to analyze economic data, making it a valuable tool for understanding and forecasting economic trends and relationships.
The application of statistical methods to quantify and analyze data, helping to draw conclusions and make predictions from numerical information.
The creation and development of software applications or tools to facilitate data analysis, often involving coding and programming.
The process of systematically examining and interpreting text-based data, extracting meaningful insights from written or verbal content, which is especially relevant in areas such as natural language processing and content analysis.