
[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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