Full course description

TEXAS RESIDENT PRICE: $1800
USE DISCOUNT CODE: ENGRTXRES

Instructor:
Satish Bukkapatnam
Prerequisite: Acceptance into the ISEN CE program, to apply visit http://tx.ag/ISENCE. Basic knowledge in probability and statistical methods, and linear algebra is required. Prior programming experience is a plus. ​​​

This course provides an introductory, hands-on treatment of broad aspects of the emerging field of data analytics for engineers, with focus on statistical learning and predictive modeling methods. Students within the course will: 
  • Learn the basic techniques of statistical learning and predictive modeling,
  • Learn the principles of building and validating these modern statistical models for engineering applications,
  • Demonstrate your knowledge of the techniques and principles by implement existing techniques or developing a novel technique in a real world problem, and conduct a comprehensive and insightful review study in any emerging area of statistical learning and data mining. 
Thi​​s course is offered as a continuing education course, students who successfully complete this course will earn continuing education units and a certificate of course completion.  No academic credit will be issued for completing this course.