Data Analytics in Scientific Research Free Webinar

Data analysis is the most crucial part of any research. Data analysis summarizes collected data. It involves the interpretation of data gathered through the use of analytical and logical reasoning to determine patterns, relationships or trends.

Why is data analysis important in scientific research?

Data analysis is important in research because it makes studying data a lot simpler and more accurate. It helps the researchers straightforwardly interpret the data so that researchers don't leave anything out that could help them derive insights from it.

Data collection is the most important step. If the collected data is wrong, analyses and conclusions can not be right! • Mode of inquiry: observational or interventionist? – Observational: The aim is to gather data or information about the world as it is. You hope the act of studying doesn't substantially modify the thing you are interested in. Qualitative methods are often required. – Interventionist: You do something and see what happens. You gather data or information before and after the intervention, then look for changes or effects of the treatment on the subject.