Data collection and analysis involves learning about the process of acquiring data, and diverse methods to do so, such as collecting completely new data, using own previous data, reusing data of other researchers, purchasing data from those that collect them for business reasons, and acquiring data from other online sources.
In additions, in this course you will teach you the actions needed to verify, organize, transform, integrate, and extract data, and methods to document them, in order to be able to analyze them later. The last phase is the analysis, which helps to describe facts, detect patterns, develop explanations and test hypothesis. This includes data quality assurance, statistical data analysis, modeling, and interpretation of results.
This course is advisable to any student that has to handle data and research during their studies, and would like to use scientific and professional, methods and methodologies, in order to be able to write an academic paper, publish, or work with data in the future. Being good at this field involves job potentials as data analysist, data researcher, data scientist, research assistant, researcher, data entry assistant, and so on.
Market price of this course:
This course has a price of 295 EUR in the market
This is a 35-hour course
295 EUR FREE for KosLift students
For the full program experience