I liked the EdX Statistical Learning course by Trevor Hastie and Robert Tibshirani, it's a great introduction to statistical modeling and data science (assuming

I liked the EdX Statistical Learning course by Trevor Hastie and Robert Tibshirani, it's a great introduction to statistical modeling and data science (assuming you already have a solid math and statistics background): https://www.edx.org/course/statistical-learning https://www.edx.org/course/statistical-learning It is not too math heavy, and the focus is on basic, interpretable approaches and concepts like: - linear and polynomial regression - logistic regression and linear discriminant analysis - cross-validation and the bootstrap - model selection and regularization methods (ridge and lasso) - tree-based methods, random forests and boosting - support-vector machines - neural networks and deep learning - survival models; multiple testing - some unsupervised learning methods like principal components and clustering (k-means and hierarchical). The instructors are really articulate and passionate about teaching well. As a bonus, there are guest speakers about every second week including Jerome Friedman and Geoff Hinton.