Advanced data analytics which includes data exploration and explanation, to find useful insights in the data and present meaningful visualizations; to find possible relationships between the different variables. Using python libraries like numpy, pandas, matplotlib and seaborn. Applying descriptive and analytical statistical methods to verify different hypothesis about the data.
Building on this foundation to apply machine learning techniques to make a data model to predict the target/dependent variable, using python libraries like Scipy and Scikit-learn.