AWS Healthcare Data Analytics For Beginners

AWS Healthcare Data Analytics For Beginners | Udemy
English | Size: 199.03 MB
Genre: eLearning

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
Data Analytics tools provided by AWS
Elastic Map Reduce (EMR)
Data Pipeline
Elasticsearch
Kinesis
Amazon Machine Learning
QuickSight
Data Science and Analytics concepts
Steps of Big Data and Data Processing
Databases

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

Gain full visibility into your AWS application code performance with end-to-end tracing, profiling, and App Analytics

Identify critical issues quickly with real-time service maps and alerts on code-level + service-level performance issues

Test hypotheses in seconds by overlaying events onto time-synchronized graphs

We will start with an overview of Data Science and Analytics concepts to give beginners the context they need to be successful in the course. The second part of the course will focus on the AWS offering for Analytics, this means, how AWS structures its portfolio in the different processes and steps of big data and data processing.

In this course, we will also explore the Analytics tools provided by AWS, including Elastic Map Reduce (EMR), Data Pipeline, Elasticsearch, Kinesis, Amazon Machine Learning.

Who This Course Is For:

Data Scientists

Data Engineers

Machine Learning Engineers

Big Data Architects

Healthcare Professionals

Solutions Architects

Cloud Engineers

DevOps Engineers

Cybersecurity Analysts

Network Security Engineers

System Administrators