Modern managers and analysts, both in the energy and the financial sector, have at their disposal large amount of information/data sets and often are called to make efficient decisions based on that information. Therefore, ability to collect, organize and present large amount of data and, at a second stage, to make efficient decisions to minimize the prevailing risk factors is of major importance. The Quantitative Methods course will initiate students into the concepts related to Regression analysis and Statistical inference. In particular, the set of topics that will be examined are: Multiple regression models, Hypothesis testing, Testing Regression Assumptions (Heteroskedasticity, Serial correlation, Multicollinearity), Regression functional forms, Model selection, Models with qualitative dependent variables (Logit & Probit models). Basic objectives of the course are to edify students with theoretical and practical issues of the quantitative analysis. Overall, the course will permit students to familiarize with the usage of modern computer software which is used widely in the business sector. The student may apply into positions which call for data analysis and effective decision making.