Best Statistics and Machine Learning graduate certificate programs - Updated 2021

The Princeton University graduate certificate program, offers statistics and mechanical learning for students who contribute or make use of statistics and master learning as a crucial part of their graduate program, is intended to formalize their education.

The Certificate in Data Mining and Machine Learning at Washington University is awarded in conjunction with any engineering master's degree. In order to qualify for this certificate, students enrolled in any master's in engineering program will need to meet all the requirements in addition to the standards requirements for their master's degree.

Cornell’s Machine Learning certificate program equips students to implement machine learning algorithms using Python. Using a combination of math and intuition, students will practice framing machine learning problems and construct a mental model to understand how data scientists approach these problems programmatically. Through investigation and implementation of k-nearest neighbors, naive Bayes, regression trees, and others, students will explore a variety of machine learning algorithms and practice selecting the best model, considering key principles of how to implement those models effectively.

Specialized Certificate in Machine Learning Methods at Regents of the University of California will introduce students to the subject matter using a variety of tools including: Linear Algebra, Deep Learning, TensorFlow, and Deep Neural Networks (DNN).

Certificate description: The Graduate Certificate in Neural Engineering-Signals, Systems Machine Learning will enable the student to gain both fundamental and applied understanding of brain signals and systems, and machine learning schemes in this rapidly growing component of neural big-data research.

Fundamentals of Statistics and Machine Learning Using RProgram Details. A ten-week program covering use R to apply fundamentals of statistical analysis and machine learning. R is an open source programming language and software environment increasingly popular with statisticians, data scientists and decision makers. While a fully-fledged programming language that can take years to master, a fundamental understanding of R, its packages and development environments offers many opportunities.