This certificate focuses on practical exposure to the analytical and digital tools necessary within systems engineering, such as applying a working knowledge of probability, statistics and data science. Learn to cleanse complex data sets, visualize patterns in the data and describe characteristics of data sets to extract system performance insights. 

Apply machine learning techniques, which are paramount to the digital transformation of advanced systems integration; derive figures of merit required to characterize and to model processes that need improvement, and trace validation and verification test results to system requirements based on statistically relevant quantitative analysis.