This nine-part series introduces participants to
diverse types and sources of data as well as ways to interpret and present data
for maximum effectiveness. Participants will explore data and statistics used
to make decisions, and answers to questions such as, How are these data
collected? What do these numbers mean for my community’s health? and How
can I best share these data with my stakeholders?
Part 1: Data Sources
Part 2: Types of Data
Part 3: Descriptive Statistics
Part 4: Inferential Statistics
Part 5: Epidemiologic Concepts
Part 6: Interpreting Data
Part 7: Presenting Data
Part 8: What Software to Use
Part 9: Conclusions
**Instructions to access the course will be provided after you register.**
Jeanine Buchanich, PhD, MEd, is a Research Associate Professor of Biostatistics at the University of Pittsburgh School of Public Health and serves as the Deputy Director for the Center for Occupational Biostatistics and Epidemiology. Her work includes improving the communication of statistical and scientific information to the general public and to stakeholders.
This course is appropriate for public health and clinical practitioners seeking an introduction to data analytics.
This course is presented through the Vimeo Internet-based platform. A computer with high-speed internet connection and the ability to download and run this platform is required.
This training was originally presented in March to April 2019.
For more information about this course or assistance with registration, contact email@example.com.