Data Collection Methods

Data Collection Methods refer to the techniques and processes used to gather and measure information on targeted variables in order to answer research questions, test hypotheses, and evaluate outcomes. In the context of Data Science, data collection methods involve the systematic gathering of data from various sources, including surveys, experiments, observations, and secondary data sources such as databases and online repositories. The choice of data collection method depends on the research question, the type of data needed, the population being studied, and the available resources. Data collection methods must be reliable, valid, and ethical, and must adhere to data protection and privacy regulations. Data collection is a critical step in the data analysis process, as the quality and accuracy of the data collected directly impact the validity and reliability of the results obtained.