Nir Kaldero is a Lead Instructor for Data Science at GA. He is also a Scholar for the Economics Department at the University of California, Berkeley, where he conducts research in Health Insurance and Information Technology (IT). He has devoted his career to applied economics research focused on leveraging Big Data in order to create market value.
Blending programming skills, economics and statistics, Nir Kaldero brings a fresh perspective to the Data Science field. He approaches data mining techniques with an emphasis on asking creative questions and developing more intuitive methodologies.
He is passionate about optimizing operational and marketing strategies based on advanced analysis methods and machine learning techniques, utilizing data to understand consumer and organization behavior, accelerate performance, increase efficiency, and enhance productivity. Above all, he strives to make Data Science exciting and accessible, and to demonstrate how anybody can harness their skills, intuition, and creativity to become a great Data Scientist.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.
Programming for Non-Programmers Bootcamp
Learn the fundamentals of front-end and back-end programming, plus try your hand at writing some code of your own.
Intro to Python
Learn to use Python as a powerful tool for analyzing and exploring data.
Intro to Applied Statistics (in Python) for Data Science
This workshop will have concepts from Applied Statistics and Econometrics through applied modeling techniques in Python.