Kyle D. Weber trained at the NYC Data Science Academy to gain additional proficiency with machine learning techniques, SQL, Python, and database management tools such as Spark, Hadoop, and Hive. He holds a Masters of Philosophy and Arts in Economics from Columbia University and has extensive quantitative research experience (having co-authored four quantitative publications and one NBER working paper), as well as detailed background knowledge of economic modelling, industrial organization, econometric analysis, and statistics.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
