[Free] Healthcare Data Security For Beginners

Introduction to Healthcare Data Security – Free Course

What you’ll learn

  • Healthcare Data Security
  • Important elements of Health Insurance Portability and Accountability Act Rules (HIPAA)
  • EHR Data Security and Privacy
  • Machine Learning
  • Data Analytics
  • Administrative, physical, and technical safeguards to ensure the confidentiality, integrity, and availability of electronic protected health information
  • Exploratory data analysis
  • Demographic dataset analysis
  • AI and Electronic Healthcare Data (EHR)
  • Importance of Data Privacy and Security From a Patient, Provider and Data User Perspective
  • Storing and Accessing PHI Data
  • Importance of EDA
  • Dataset Schema Analysis
  • Value Distributions
  • Missing Values and Outliers

Requirements

  • Basic Computer Knowledge

Description

By completing this course, you will learn about:

  • Data Security and Privacy, including some of the key standards and regulations.

  • Exploratory data analysis allowing you to gain a deeper understanding of your datasets, including:

    • Dataset schemas

    • Value distributions

    • Missing values

    • Cardinality of categorical features

  • Demographic dataset analysis

  • Data Analytics

  • Machine Learning

    • Understand what Machine Learning is and what it offers

    • Understand the benefits of using the Machine Learning

    • Understand business use cases and scenarios that can benefit from using the Machine Learning

    • Understand the different Machine Learning training techniques

    • Understand the difference between Supervised and Unsupervised training

Author(s): Charles Smith
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