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Advanced R Programming & Graphics

About This Course

In this course, you’ll use advanced modeling techniques to predict, classify and group data. You’ll use more advanced techniques to help you understand both inferential and predictive approaches.

What you'll learn:

  • Principles and tools for reproducible analysis (over-fitting and sampling)
  • Classifying with decision trees and random forests
  • Outlier detection with support vector machines
  • Predicting with neural networks
  • Grouping data points with clusters
  • How to produce maps in R and handle GIS data
  • Time series analysis

Course Sessions

Online Synchronous

July 2027
Dates Jul 14 - Sep 15
Location Online
Instructor Marcelo Guerra Hahn
Cost $1,533
Scheduled Meetings
Date
Day
Time
Location
Jul 14, 2027
Wed
6 – 9 p.m.
Online
Jul 21, 2027
Wed
6 – 9 p.m.
Online
Jul 28, 2027
Wed
6 – 9 p.m.
Online
Aug 4, 2027
Wed
6 – 9 p.m.
Online
Aug 11, 2027
Wed
6 – 9 p.m.
Online
Aug 18, 2027
Wed
6 – 9 p.m.
Online
Aug 25, 2027
Wed
6 – 9 p.m.
Online
Sep 1, 2027
Wed
6 – 9 p.m.
Online
Sep 8, 2027
Wed
6 – 9 p.m.
Online
Sep 15, 2027
Wed
6 – 9 p.m.
Online

All times are Pacific Time.

Noncredit Course

You'll earn 3.0 continuing education units (CEUs) for successfully completing this course.