High dimensional probability : an introduction with applications in data science Preliminaries on random variables Concentration of sums of independent random variables Random vectors in high dimensions Random matrices Concentration without independence Quadratic forms symmetrization and contraction Random processes Chaining Deviations of random matrices and geometric consequences Sparse recovery Dvoretzky Milmans theorem