Data Analytics Webinar Series

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

David Marc is an assistant professor and the health informatics graduate program director at the College of St. Scholastica. Currently, Dr. Marc teaches courses on the foundations of health informatics, human factors and usability assessment, data analytics, and research design. Dr. Marc has a master’s degree in biological sciences from the University of Minnesota and a PhD in health informatics also from the University of Minnesota. Dr. Marc also holds a certification as a health data analyst (CHDA). Currently, Dr. Marc serves as the chair of the AHIMA foundation research network, a current presenter for the AHIMA faculty development regional meetings, and an instructor for the CHDA exam prep workshops. Dr. Marc also serves on the Minnesota HIMSS board as the chair of student affairs and is the chair for the AMIA education taskforce. Dr. Marc has extensive experience working with large healthcare datasets and analytic procedures. Recently, Dr. Marc co-editing the textbook Data Analytics in Healthcare Research: Tools and Strategies through AHIMA press, which offers a unique opportunity to experience big data from a hands-on perspective using open source tools and data.

Access Instructions

Access instructions will be provided in the confirmation email.

For technical assistance with the webinar, please contact ceo@schimahima.org.

Pricing

3-Part Series

AHIMA Member: $75
Non-Member: $100

Cancellation

No refunds as all webinars are recorded and playback is available for at least 90 days.

If you need to cancel your registration, please email support@knowledgeconnex.com. You will need to reference the meeting name and meeting date.

 

Registration

When you register online, you will have the option to pay by mail with a check or pay online with a credit card (AMEX, MasterCard, Visa, or Discover).

If you are paying by check, select “mail a check” under payment options. You will later see instructions to print the confirmation page and mail your payment to KnowledgeConnex. The mailing address will be on the invoice. Make your check payable to KnowledgeConnex and include the confirmation/order number with the check. Checks that do not reference the confirmation number will be returned to you and will not be applied to the registration.

Register

Upcoming Events

  1. Data Analytics Webinar Series

    August 24 12:00 pm - 1:00 pm EDT
  2. Data Analytics Webinar Series

    August 31 12:00 pm - 1:00 pm EDT