Healthcare Analytics Made Simple

This is a high-level list of topics covered in this course. Please see the detailed Agenda below • Gain valuable insight into healthcare incentives, finances, and legislation • Discover the connection between machine learning and healthcare processes • Use SQL and Python to analyze data • Measure healthcare quality and provider performance • Identify features and attributes to build successful healthcare models • Build predictive models using real-world healthcare data • Become an expert in predictive modeling with structured clinical data • See what lies ahead for healthcare analytics

  • No Rating
  • (0 Reviews)
  • 0 Students enrolled

Hours :

Hands on Labs

Requirements

  • This course is geared for attendees with Python skills who wish to know how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples Pre-Requisites: Students should have • Basic to Intermediate IT Skills. Attendees w
    + See More
    ithout a programming background like Python may view labs as follow along exercises or team with others to complete them. • Good foundational mathematics or logic skills • Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su
    - See Less

Description

In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practicing doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This course is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. . Working in a hands-on learning environment, led by our Healthcare expert instructor, students will learn about and explore: • Perform healthcare analytics with Python and SQL • Build predictive models on real healthcare data with pandas and scikit-learn • Use analytics to improve healthcare performance

Course Content

Recent Courses

blog
Last Updated 25th September 2020
  • 0
  • Free
blog
Last Updated 25th September 2020
  • 0
  • Free
blog
Last Updated 25th September 2020
  • 0
  • Free
blog
Last Updated 25th September 2020
  • 0
  • Free
blog
Last Updated 25th September 2020
  • 0
  • Free

About the Instructor

instructor
About the Instructor

Ernesto Lee is an impassioned blockchain entrepreneur and technologist from the Miami/Fort Lauderdale Area. For over 25 years Ernesto has been asking hard questions and pursuing tough answers. Ernesto was an original founding member, co-owner and the CTO of Blockchain Training Alliance and former Chief Solutions Architect at TechBlue.com. Presently, Ernesto is the CEO at Ernesto.Net and Engineer at Kaiser Permanente.  Ernesto’s career illustrates a lifelong commitment to pushing the envelope on innovation and growing opportunities for all around him.

As a graduate of Old Dominion University (BS, Physics), Virginia Tech (MS, Software Engineering), and Harvard Extension School (Graduate Certificate, Business Communication), Ernesto has always had a passion for technology and teaching. It has been a cornerstone of Ernesto’s career.