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Data Analysis & Modeling With R

About This Course

In this course, we'll focus on advanced variations of linear models with R programming. You'll master data handling and manipulation to develop your skills in conceptualizing problems, identifying appropriate tools and validating meaningful results. You'll become familiar with a variety of R visualization package options, such as histograms, mapping and assessing model fit. You'll learn best practices in analysis process and how to generate reproducible analyses.

What You'll Learn

  • Generalized linear models
  • Additive models and hierarchical modeling
  • Spatial modeling
  • Model selection and evaluation
  • Data visualization, mapping and plotting using packages
  • Streamlined data analysis process

Course Sessions

Online Synchronous

April 2027
Dates Apr 21 - Jun 23
Location Online
Instructor Molly Ng
Cost $1,531
Scheduled Meetings
Date
Day
Time
Location
Apr 21, 2027
Wed
6 – 9 p.m.
Online
Apr 28, 2027
Wed
6 – 9 p.m.
Online
May 5, 2027
Wed
6 – 9 p.m.
Online
May 12, 2027
Wed
6 – 9 p.m.
Online
May 19, 2027
Wed
6 – 9 p.m.
Online
May 26, 2027
Wed
6 – 9 p.m.
Online
Jun 2, 2027
Wed
6 – 9 p.m.
Online
Jun 9, 2027
Wed
6 – 9 p.m.
Online
Jun 16, 2027
Wed
6 – 9 p.m.
Online
Jun 23, 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.