Materi ini memberikan landasan pemrograman terkait bidang Statistika dan Sains Data, meliputi Pengantar Algoritma, Teknik Munging/Wrangling, Visualisasi Data, Pembangkitan Bilangan Acak, Pengembangan Fungsi, Optimasi secara Numerik, Integration as an Expectation, Interpolation, Approximation, Regression and Matrix Factorization/Statistical Modeling Simulation, Markov Chain Monte Carlo, EM Optimization, serta Resampling Methods.