Data Science and Leadership Training & Skills Development
Welcome to the training and skills page of the Data Science and Leadership program, designed to equip public health professionals with essential skills in data-driven leadership and health equity. Our curated training resources empower mid-senior level public health advisors to lead with data-informed decisions, driving impactful change in communities.
Featured Trainings
Storytelling with Data
Leading others—to motivate them and commit their energies and expertise to achieve the shared mission and goals of the emergency management system—is a necessary and vital part of every emergency manager, planner and responder’s job.
The goal of this course is to improve your leadership and influence skills.
Leadership and Influence
Create compelling ways to communicate insights about public health data in the Storytelling with Data webinar series hosted by the Washington State Department of Health and IBM. The three one-hour sessions include lectures plus hands-on and practical activities.
Leading Change in Informatics and Data Analysis
Change is a constant in both our personal and professional lives. The idea that human beings naturally resist change is deeply ingrained into our culture and how we think about change. This course provides public health professionals with a foundation in change management and practical tools for utilizing formal change management for an informatics or data analytics project.
Key Insights from the Report
The intersection of data science and leadership is crucial for addressing health inequities. Leaders equipped with data literacy are positioned to make data-informed decisions that positively impact community health.
Explore NNPHI Public Health LEADS Exploratory Report on Public Health Data Science and Leadership
In the Summer of 2023, as part of the PH LEADS program, the National Network of Public Health Institutes (NNPHI) embarked on an exploratory evaluation to inquire into the constructs of data science and leadership within the public health workforce. A series of four listening sessions with pre- and post- participation surveys captured participants’ accounts in narratives about their individual work and training experiences. Using both qualitative and quantitative methods, the evaluation sought to understand the key concepts of public health data science and leadership, identify gaps and needs for data science and leadership in the current workforce capacity, accessibility, training and education, detect ways that systems undermine efforts to create a move diverse public health workforce, and align workforce needs and current public health programs with data science and leadership curricula.
The listening sessions suggest that Data Science efforts typically focus on and demand high levels of expertise in the “Performance Objectives” domain, Data Literacy skills under “Transferable Skills” domain and Data-informed Leadership skills to the “Values” domain within the Essentials Framework. The tools used and the techniques employed will vary based on the given task itself.
Participants shared innovative and best practice ideas to address the barriers and challenges for the governmental public health workforce needs in public health data science and public health leadership. Inspired by what was heard in the listening sessions, HCC, Inc. also incorporated their recommendations within this section. To make these ideas actionable, they have been summarized and situated loosely across the levels of the socio-ecological model, guiding where interventions can occur.
Testimonials
Hear from public health leaders about the challenges and opportunities in the field of data science and leadership.
Explore NNPHI Public Health LEADS Exploratory Report on Public Health Data Science and Leadership Report was prepared by Health Communications Consultants, Inc.
Authors: Sarah D. Matthews, PhD, Elaina Perry, CHES, NREMT, Danielle C. Landis, PhD, Patricia Bockelman, PhD.
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