Data analysis and study design are critical components of research and scientific inquiry as they guide the process of collecting, analyzing, and interpreting data to draw meaningful conclusions. Data analysis is the process of examining, cleaning, transforming, and modeling data to uncover useful information, draw conclusions, and support decision-making.

The analysis can be descriptive, exploratory, or inferential, depending on the research objectives. Study design simply means the framework or strategy that researchers use to answer a research question. Types of study designs include experimental designs, observational designs, descriptive designs, mixed method designs, and correlational designs. These concepts and the relationships between them are the focus of this training.

Individuals in healthcare settings face challenges that arise from study design and data analysis. Inadequate knowledge of study design and data analysis can lead to a loss of valuable information and wrong conclusions. This training will equip you with the necessary skills and knowledge to plan a study design capable of collecting suitable data for the intended analysis, leading to valid and reliable conclusions

By the end of this training, you will be able to