Data Science Graduate Certificate

There are no formal prerequisites, but we recommend that you have prior knowledge of basic mathematical concepts and computer programming Math: Calculus and Linear Algebra Programming: Python and R Programming If you do not have this knowledge already, we

Data Mining Foundations and Practice Specialization - Data Mining Pipeline (1-credit)

Data Science Foundations: Statistical Inference Specialization - Probability Theory: Foundation for Data Science (1-credit)

Data Science Foundations: Statistical Inference Specialization - Statistical Inference for Estimation in Data Science (1-credit)

Data Science Foundations: Statistical Inference Specialization - Statistical Inference and Hypothesis Testing in Data Science Applications (1-credit)

Introduction to Statistical Learning for Data Science Specialization - Statistical Learning for Data Science: Regression and Classification (1-credit)

Introduction to Statistical Learning for Data Science Specialization - Statistical Learning for Data Science: Resampling, Selection, and Splines (1-credit)

Introduction to Statistical Learning for Data Science Specialization - Statistical Learning for Data Science: Trees, SVM and Unsupervised Learning (1-credit)

Machine Learning Specialization - Introduction to Machine Learning: Supervised Learning (1-credit)

Machine Learning Specialization - Unsupervised Algorithms in Machine Learning (1-credit)

Machine Learning Specialization - Introduction to Deep Learning (1-credit)

Statistical Modeling for Data Science Specialization - Modern Regression Analysis in R (1-credit)

Statistical Modeling for Data Science Specialization - ANOVA and Experimental Design (1-credit)

Statistical Modeling for Data Science Specialization - Generalized Linear Models and Nonparametric Regression (1-credit)