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Data Science: New Approaches for Old (and New) Problems

Data Science: New Approaches for Old (and New) Problems

November 6, 2020 - 5 PM (CEST) | 10 AM (CDT)


The purpose of this webinar is to provide interested parties with an overview of the emerging field of Data Science. We will discuss what is meant by the term Data Science and how it similar to, yet goes beyond, the data analytic techniques health professionals have been employing for years to assess the efficacy of their intervention strategies.


  • Articulate what Data Science is and how it is similar and different from what you have been doing.
  • Identify the key skill sets needed for Data Science (Data Cleaning & Curation, Visualization, Statistical Analysis, Machine Learning Algorithms, Ethics).
  • Understand what “Machine Learning” is and distinguish key types of machine learning (Supervised, Unsupervised, Semi-Supervised, Reinforcement, and Deep).
  • Articulate key methods used to assess machine learning algorithms and the pitfalls of “overfitting.” 
  • Identify areas of your own work that could benefit from the application of machine learning techniques.


All levels within Clinical Data Management will find this training helpful.


Participants will gain a better understanding of some of the more common reporting tools available, how to best utilize those tools, and ensure the reports created from those tools are accurate.


Robert Padgett, Ph.D. Professor, Butler University.

Robert Padgett has a Ph.D. in Psychology with a special emphasis in Measurement and Statistics. He has taught statistics and computer data analytic techniques for over 30 years. In addition to his faculty role at Butler, he is currently the director of the Data Science minor at Butler and is the leader of the core program for the Masters in Data Analytics including the soon to be available tracks in Bioinformatics and Health Analytics.  


Participants are eligible to receive CEUs upon attendance and successful completion of a web-based assessment within 30 days after the webinar. CEUs are not granted after the 30-day assessment deadline. SCDM is authorized by IACET to offer 0.2 CEUs for this program.

Registration Member  Non-member
Individual $360 $420
Group (max. 10 ppl.) $960 $1,140

Group Registration Policy:
Any group registration allows up to 10 people to attend the webinar and to complete the webinar assessment. Credits will be granted on an individual basis upon successful completion of the assessment by the registered participants.

Refund Policy: Participants will receive a full refund if notice is provided in writing via post or email one week prior to the webinar date. If cancellation occurs within the week prior the webinar, participants will be allowed to apply 50% of the webinar fee to the next offering of the same webinar. No refunds will be offered after that time.

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