DATA ANALYTICS BOOTCAMP

80 hours of Programming in Python, probability and statistics

Data Analytics Fundamentals

• Python for Data Analytics
• Introduction to Big Data analysis: data preparation and wrangling; data exploration objectives and methods: structure and unstructured data
• Project: Big Data analysis using Python

Data Models

• Introduction to Machine Learning: supervised and unsupervised learning
• Supervised Machine Learning: Support Vector Machines,        
• k-Nearest Neighbor, ensemble Learning and Random Forest
• Model Training
• Project: Implementation of Supervised Machine Learning Model 

 Advanced Topics and Application

• Supervised Machine Learning Algorithms: PCA
• Machine Learning Neural Networks, Deep Learning Nets, and Random Forest
• Project: Implementation of Unsupervised Machine Learning Model

As a former engineer, Nathan enjoys data science because it allows him to use a mathematical skill set which he acquired developing algorithms for individual products in order to optimize the behavior of entire organizations.

Nathan began his career developing algorithms for wireless communications at Qualcomm. He subsequently worked in data analytics for IP applications, and in data science for WiFi applications. Nathan is currently a data scientist at Silicon Valley Bank, creating machine learning models for banking and marketing applications. He holds a BS in Mechanical Engineering from the University of Illinois, an MS in Electrical Engineering from the University of Michigan, and an MBA from the University of Pennsylvania’s Wharton School. When not working, Nathan enjoys skiing, cycling, wakeboarding and spending time with his wife and three sons.

Joe Comeaux is a Meteorologist , Software Engineer, Data Scientist and Instructor with experience teaching at all levels.  Along with his wife, he runs a non-profit company, Exploration Universe, whose mission is to get kids excited about science and technology as possible career choices.   Mr. Comeaux earned his MS in Meteorology from Florida State University and a certificate in Data Analysis and Visualization from Denver University.  He recently worked at Flatiron School and currently works at Pluralsight Inc and Manhattan Institute of Management as a Data Analytics and Data Science Instructor.  

Craig A. Friedman, PhD, Founder of StatePlusPlus Incorporated, has over 25 years of experience in the Financial Services industry, and has served as Managing Director and Head of Research and Quantitative Analytics (Standard & Poor’s) and Head of Quantitative Risk Management (TIAA).  He has led PhD quantitative modeling groups and has provided C-suite support, authored a book, book chapters, and numerous peer reviewed publications in machine learning / data science, statistics, applied mathematics, and quantitative finance, and made numerous seminar and conference presentations; he holds an AB in Economics and Sc.M. in Applied Mathematics from Brown University and MS and PhD degrees in Mathematics from NYU’s Courant Institute of Mathematical Sciences.