About Barrett Duna

About Barrett Duna

Barrett Duna graduated from UCLA in June of 2013 with a BS in Mathematics/Economics degree. Barrett's coursework included the following:

Calculus Series, Differential Equations, Lower and Upper Division Linear Algebra, Elementary Statistics, Introduction to Programming C++, Matlab for Engineers, Discrete Mathematics, Introduction to Probability Theory, Real Analysis and Advanced Real Analysis, Introduction to Mathematical Statistics, Introduction to Econometrics, Mathematical Optimization, Introduction to Computation and Optimization for Statistics, Mathematical Abstract Algebra for Applications.

Additionally, Barrett Duna took three Ph.D. level courses: Applied Sampling, Machine Learning/AI and Econometrics.

Barrett Duna 's Image - Professional data scientist utilizing machine learning/AI techniques - Data Science

Barrett's took online Coursera coursework. He completed the following courses so far: Stanford's Computer Science Algorithms Course, UC Davis' Tableau for Data Visualization Course and UC Davis' SQL for Data Science Course. He intends to take more data science related coursework on Coursera in the future.

More information can be seen on Barrett's resume such as past work experience, education, skills, links to outside project resources, certifications and more.