Data science is the study and application of large data analysis, mining and programming to reveal insights that can be used to communicate and capture intelligence for businesses and organizations. Over the last decades computing power and data access is increasing very fast. However, proper focus and methods to use the data within the decision making process is not applied properly, or we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. Therefore, the purpose of this talk is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. With this talk, we will learn: - The major steps involved in tackling a data science problem in research and the major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing .data, to building a model, and understanding the feedback after model deployment.