Data Science Research Methods

Data Science Research Methods are often trained in the analysis of data. However, the goal of data science is to produce a good understanding of some problem or idea and build useful models on this understanding.

Because of the principle of “garbage in, garbage out,” it is vital that the data scientist know how to evaluate the quality of information that comes into data analysis. This is especially the case when data are collected specifically for some analysis (e.g., a survey).

In this Data Science Research Methods course, you will learn the fundamentals of the research process–from developing a good question to designing good data collection strategies to putting results in context. Although the data scientist may often play a key part in data analysis, the entire research process must work cohesively for valid insights to be gleaned.

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