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X-ORIGINAL-URL:https://www.phit4dc.com
X-WR-CALDESC:Events for PHIT4DC Up-Skilling District of Columbia public health professionals!
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DTSTART;TZID=America/New_York:20250313T170000
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UID:10000046-1741885200-1741896000@www.phit4dc.com
SUMMARY:Week 7 | Module 4 | Seminal Presentation on Current Development in Data Science
DESCRIPTION:Instructor: TBD. \nTopics to be determined.
URL:https://www.phit4dc.com/event/week-7-module-4-seminal-presentation-on-current-development-in-data-science-2/
CATEGORIES:VADSTI Training Program
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250319T170000
DTEND;TZID=America/New_York:20250319T200000
DTSTAMP:20260405T190021
CREATED:20241205T133938Z
LAST-MODIFIED:20250107T214031Z
UID:10000041-1742403600-1742414400@www.phit4dc.com
SUMMARY:Week 8 | Module 5 | Introduction to Machine Learning I 
DESCRIPTION:Instructor: Ebelechukwu Nwafor\, PhD \nThis two-part module delves into the core principles of machine learning. In Part I\, students will learn about supervised learning techniques\, covering linear regression\, classification\, and model evaluation metrics. They will explore foundational algorithms\, including decision trees\, support vector machines\, and k-nearest neighbors\, while focusing on applications in real-world scenarios.
URL:https://www.phit4dc.com/event/week-8-module-5-introduction-to-machine-learning-i/
CATEGORIES:VADSTI Training Program
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250320T170000
DTEND;TZID=America/New_York:20250320T200000
DTSTAMP:20260405T190021
CREATED:20241205T134116Z
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UID:10000042-1742490000-1742500800@www.phit4dc.com
SUMMARY:Week 8 | Module 5 | Introduction to Machine Learning I
DESCRIPTION:Instructor: Ebelechukwu Nwafor\, PhD \nThis two-part module delves into the core principles of machine learning. In Part I\, students will learn about supervised learning techniques\, covering linear regression\, classification\, and model evaluation metrics. They will explore foundational algorithms\, including decision trees\, support vector machines\, and k-nearest neighbors\, while focusing on applications in real-world scenarios.
URL:https://www.phit4dc.com/event/week8-module-5-introduction-to-machine-learning-i/
CATEGORIES:VADSTI Training Program
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250321T170000
DTEND;TZID=America/New_York:20250321T200000
DTSTAMP:20260405T190021
CREATED:20241205T134345Z
LAST-MODIFIED:20250107T214018Z
UID:10000043-1742576400-1742587200@www.phit4dc.com
SUMMARY:Week 9 | Module 6 | Machine Learning II
DESCRIPTION:Instructor: Ebelechukwu Nwafor\, PhD \nPart 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.
URL:https://www.phit4dc.com/event/week-9-module-6-machine-learning-ii/
CATEGORIES:VADSTI Training Program
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250322T170000
DTEND;TZID=America/New_York:20250322T200000
DTSTAMP:20260405T190021
CREATED:20241205T134625Z
LAST-MODIFIED:20250107T214013Z
UID:10000044-1742662800-1742673600@www.phit4dc.com
SUMMARY:Week 9 | Module 6 | Machine Learning II
DESCRIPTION:Instructor:  Ebelechukwu Nwafor\, PhD \nPart 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.
URL:https://www.phit4dc.com/event/week-9-module-6-machine-learning-ii-2/
CATEGORIES:VADSTI Training Program
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250721T173000
DTEND;TZID=America/New_York:20250905T184500
DTSTAMP:20260405T190021
CREATED:20250513T155453Z
LAST-MODIFIED:20250513T155745Z
UID:10000049-1753119000-1757097900@www.phit4dc.com
SUMMARY:Data for Decision-Making in Healthcare
DESCRIPTION:Transform Healthcare Decisions Through Data Literacy\nIn 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. \nApply Today \nDuration\n8 weeks\n(July 21 – September 5) \nSchedule\nTuesdays and Thursdays\, 5:30 – 6:45 PM \nCourse Overview\nLed 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. \nWhat makes this course unique:\n\nWork with real-world healthcare datasets relevant to your professional context\nDevelop practical skills in data visualization and dashboard creation\nLearn to communicate data insights effectively to various stakeholders\nGain exposure to google sheets and Gemini AI for simple\, AI-assisted formula generation\nComplete a personalized capstone project addressing a real healthcare challenge\n\nWho Should Attend\nThis course is designed for professionals who need to make or influence data-informed decisions\, including: \n\nAnyone seeking to enhance their data literacy\nClinical leaders and department managers\nHealthcare administrators and operations staff\nQuality improvement specialists\nHealth information professionals\n\nWhat You’ll Learn\n\nIdentify and work with different types of healthcare data (clinical\, operational\, financial)\nEvaluate data quality and relevance for healthcare decision-making\nCreate effective dashboards and visualizations that tell a compelling story\nDevelop data-informed recommendations that drive action\nPresent data insights with confidence and clarity\nUtilize Google Sheets and Gemini AI to enhance data analysis capabilities\n\nBy 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. \nAll necessary software licenses will be provided\, including Excel and Power BI. Students should bring laptops to each session.
URL:https://www.phit4dc.com/event/data-for-decision-making-in-healthcare/
CATEGORIES:PHIT4DC Event
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