Summary

A three-part webinar series will offer members an opportunity to learn how to analyze healthcare data using MS Excel and the open-source data analytics software platform, R. The webinar will include tutorials on how to carry out basic and advanced analytical techniques including data acquisition, data summaries, data preparation, and data visualization. Each webinar is live and will run 1-hr in length and will be recorded for playback up to 90 days after the live event.

Purpose

Offer the webinar participants hands-on experience analyzing healthcare data with readily available software.

Outline

Part 1: Exploring Basic R Programming

August 17, 2017 at 12 PM ET
CEU – 1.0 Technology

Objectives:

  • An introduction to the R programming language
  • Creating R objects
  • Preparing imported data for analysis
  • Creating data summaries

Part 2: Exploring Data Visualization in the R Programming Environment

August 24, 2017 at 12 PM ET
CEU – 1.0 Technology

Objectives:

  • Creating common data plots such as histograms, bar plots, line plots, box plots, and dot plots, among others
  • Creating an interactive display
  • Publishing graphs for dashboards

Part 3: Exploring Data Mining Approaches in the R Programming Environment

August 31, 2017 at 12 PM ET
CE – 1.0 Technology

Objectives:

  • Data mining concepts and principles
  • Preparing data for data mining
  • Creating predictive data models
  • Testing and deploying data models

Speaker: David Marc

Learn More and Register