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10 events found.

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  • January 2025

  • Wed 29
    January 29 @ 5:00 pm - 8:00 pm

    Week 1 | Module 1 | Foundations of Data Science with Python

    Instructor: Ebelechukwu Nwafor, PhD. This module introduces students to the fundamental concepts of data science, including data collection, cleaning, exploration, and basic analysis. By the end of the module, students […]

  • Thu 30
    January 30 @ 5:00 pm - 8:00 pm

    Week 1 | Module 1 | Foundations of Data Science with Python

    Instructor: Ebelechukwu Nwafor, PhD. This module introduces students to the fundamental concepts of data science, including data collection, cleaning, exploration, and basic analysis. By the end of the module, students […]

  • February 2025

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

    Week 2 | Module 2A | Introduction to Python I

    Instructor: Moussa Doumbia, Ph.D. This introductory course will be your guide to learning how to set up the working environment and use the power of Python to analyze data, create beautiful […]

  • Thu 6
    February 6 @ 5:00 pm - 8:00 pm

    Week 2 | Module 2A | Introduction to Python I

    Instructor: Moussa Doumbia, Ph.D. This introductory course will be your guide to learning how to set up the working environment and use the power of Python to analyze data, create beautiful […]

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

    Week 3 | Module 2B | Introduction to Python II

    Instructor: Moussa Doumbia, Ph.D. The module builds upon Introduction to Python I. Topics we include: Web scraping with python Use matplotlib and seaborn for data visualizations Use plotly for interactive […]

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

    Week 3 | Module 2B | Introduction to Python II

    Instructor: Moussa Doumbia, Ph.D. The module builds upon Introduction to Python I. Topics we include: Web scraping with python Use matplotlib and seaborn for data visualizations Use plotly for interactive […]

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

    Week 4 | Module 3A | Experimentation in Data Science (A/B Testing and Statistical Analyses) I

    Instructor: Ronald Doku, Ph.D. This topic covers the principles and applications of A/B testing, a foundational technique for making data-driven decisions in healthcare, business and various other industries. The session […]

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

    Week 4 | Module 3A | Experimentation in Data Science (A/B Testing and Statistical Analyses) I

    Instructor: Ronald Doku, Ph.D. This topic covers the principles and applications of A/B testing, a foundational technique for making data-driven decisions in healthcare, business and various other industries. The session […]

  • 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 […]

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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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