PHIT4DC Up-Skilling District of Columbia public health professionals!

Week 9 | Module 6 | Machine Learning II
2025-03-21 17:00 - 20:00, 2025-03-22 17:00 - 20:00 (America/New_York) | DC
Instructor: Ebelechukwu Nwafor, PhD
Part II builds on these basics from Part I, introducing unsupervised learning techniques such as clustering and dimensionality reduction. The module will also cover key concepts like overfitting, and model selection. By the end, students will understand both theoretical and practical aspects of machine learning, with hands-on experience in building and evaluating models using tools like Scikit-Learn.

Data for Decision-Making in Healthcare
2025-07-21 17:30 - 2025-09-05 18:45
Transform Healthcare Decisions Through Data Literacy
In today’s healthcare environment, the ability to interpret and leverage data is no longer optional—it’s essential. This 8-week intensive course equips professionals with practical data literacy skills that can be immediately applied to improve decision-making in clinical and operational settings.
Apply Today
Duration
8 weeks
(July 21 – September 5)
Schedule
Tuesdays and Thursdays, 5:30 – 6:45 PM
Course Overview
Led by Professor Michael Marcus, this hands-on program bridges the gap between healthcare expertise and data fluency. Through a balanced combination of weekly lectures and laboratory sessions, you’ll progress from understanding basic healthcare data types to creating professional dashboards that drive meaningful decisions.
What makes this course unique:

Work with real-world healthcare datasets relevant to your professional context
Develop practical skills in data visualization and dashboard creation
Learn to communicate data insights effectively to various stakeholders
Gain exposure to google sheets and Gemini AI for simple, AI-assisted formula generation
Complete a personalized capstone project addressing a real healthcare challenge

Who Should Attend
This course is designed for professionals who need to make or influence data-informed decisions, including:

Anyone seeking to enhance their data literacy
Clinical leaders and department managers
Healthcare administrators and operations staff
Quality improvement specialists
Health information professionals

What You’ll Learn

Identify and work with different types of healthcare data (clinical, operational, financial)
Evaluate data quality and relevance for healthcare decision-making
Create effective dashboards and visualizations that tell a compelling story
Develop data-informed recommendations that drive action
Present data insights with confidence and clarity
Utilize Google Sheets and Gemini AI to enhance data analysis capabilities

By the end of this course, you’ll possess the skills to transform raw healthcare data into actionable insights, positioning yourself as a more valuable contributor to your organization’s success in an increasingly data-driven healthcare landscape.
All necessary software licenses will be provided, including Excel and Power BI. Students should bring laptops to each session.
