Health and life sciences are innovative, fast-growing industries that present many career opportunities for students with data analysis skills. JMP includes comprehensive data visualization and analysis capabilities for life sciences, all packaged in an easy-to-use, visual interface that is great for the classroom. This webinar will provide a comprehensive overview of JMP tools for teaching statistics in life sciences, including data visualization, basic statistical tests, regression and ANOVA, categorical data analysis, survival analysis, and more. We’ll also review relevant teaching resources that make it easier to adopt JMP in your course, including textbooks with JMP integration, quick tutorial videos, and case studies for demonstrating real-world analytics problems with JMP.
This webinar is appropriate both for instructors who are new to JMP and for those who already teach with JMP but would appreciate a broad overview of its statistical capabilities for life sciences.