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10 events found.

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  • February 2025

  • Wed 26
    February 26 @ 5:00 pm - 8:00 pm

    Week 5 | Module 3B | Experimentation in Data Science (A/B Testing and Statistical Analyses) II

    Instructor: Ronald Doku, Ph.D. Part II will build on concepts discuss in Part I. We will go through examples of how to conduct an A/B test on a real-world use […]

  • Thu 27
    February 27 @ 5:00 pm - 8:00 pm

    Week 5 | Module 3B | Experimentation in Data Science (A/B Testing and Statistical Analyses) II

    Instructor: Ronald Doku, Ph.D. Part II will build on concepts discuss in Part I. We will go through examples of how to conduct an A/B test on a real-world use […]

  • March 2025

  • Sat 1
    March 1 - March 8

    Week 6 | Spring Break

  • Wed 12
    March 12 @ 5:00 pm - 8:00 pm

    Week 7 | Module 4 | Seminal Presentation on Current Development in Data Science

    Instructor: TBD. Topics to be determined.

  • Thu 13
    March 13 @ 5:00 pm - 8:00 pm

    Week 7 | Module 4 | Seminal Presentation on Current Development in Data Science

    Instructor: TBD. Topics to be determined.

  • Wed 19
    March 19 @ 5:00 pm - 8:00 pm

    Week 8 | Module 5 | Introduction to Machine Learning I 

    Instructor: Ebelechukwu Nwafor, PhD This 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 […]

  • Thu 20
    March 20 @ 5:00 pm - 8:00 pm

    Week 8 | Module 5 | Introduction to Machine Learning I

    Instructor: Ebelechukwu Nwafor, PhD This 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 […]

  • Fri 21
    March 21 @ 5:00 pm - 8:00 pm

    Week 9 | Module 6 | Machine Learning II

    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 […]

  • Sat 22
    March 22 @ 5:00 pm - 8:00 pm

    Week 9 | Module 6 | Machine Learning II

    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 […]

  • July 2025

  • Mon 21
    July 21 @ 5:30 pm - September 5 @ 6:45 pm

    Data for Decision-Making in Healthcare

    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 […]

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This project is/was supported by the Assistant Secretary for Technology Policy (ASTP) of the US Department of Health and Human Services (HHS) under grant number ARP-PHIT-21-001; the Public Health Informatics & Technology Workforce Development Program (The PHIT Workforce Development Program) for $8,905,857.00. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by ASTP, HHS, or the U.S. Government.
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