Turn your Public Health knowledge into practical Data Analytics skills using Excel, SQL, Python, GitHub, and Data Visualization—while building a real project you can add to your professional portfolio.
Join the Cohort 3 Priority ListEarly Bird Registration opens January 1, 2027.
Live instruction, real datasets, guided practice, feedback, and an end-to-end portfolio project.
Technical skills need work.
You need stronger portfolio evidence.
You have tried learning SQL or Python alone.
You are unsure how to demonstrate analytical skills.
Practical Excel, SQL, and Python experience.
Real Public Health Data analysis.
A professional GitHub repository.
Visualizations, dashboard, and capstone.
Experience presenting your analytical work.
Explore real Public Health datasets.
Use Excel, SQL, Python, and Pandas.
Create charts and dashboards.
Organize GitHub and your portfolio.
Explain methods, findings, and limitations.
Discuss your work in professional settings.
Sources, structures, variables, quality, and analytical questions.
Data Cleaning, PivotTables, summaries, and exploratory analysis.
SELECT, WHERE, GROUP BY, filtering, aggregation, and interpretation.
Python, Pandas, Data Cleaning, analysis, and Data Visualization.
Continue analysis, build GitHub, strengthen your portfolio, and practice explaining technical work.
Develop the analysis, visualizations, dashboard, interpretation, and presentation.
Present your methods, findings, limitations, dashboard, and recommendations.
Build practical technical experience alongside academic training.
Add Excel, SQL, Python, GitHub, and Data Visualization to your expertise.
Develop applied analytical skills without trying to become a Computer Scientist.
You do not need to be a programmer. You need curiosity, commitment, and a willingness to practice.

Biomedical Informaticist · Data Scientist · Scientist · Educator
Dr. Deas brings decades of Scientific Research experience and more than a decade of experience in Data Science and Informatics across Healthcare, Public Health, Clinical Research, and Environmental Health. Her teaching approach is built around guided, hands-on projects and real analytical workflows.
You don't learn Data Analytics by watching someone else analyze data. You learn by working through real problems yourself.
Join the Priority List now for Cohort 3 updates and registration information.
Early Bird pricing.
Early Bird pricing.
Includes: seven-week live program, hands-on instruction, portfolio guidance, dashboard development, GitHub support, career preparation, and feedback.
Join the Cohort 3 Priority ListNo. Skills are built progressively.
No. Public Health, Healthcare, Research, Science, Informatics, and related backgrounds are welcome.
Yes. It emphasizes live instruction, demonstrations, practice, discussion, and feedback.
Yes. Portfolio development is a core part of the accelerator.
No. It strengthens technical skills, portfolio evidence, and communication of analytical work; it does not guarantee employment.
Bring your Public Health knowledge. We'll work on the data.
Join the Cohort 3 Priority List