Introduction to the Practice of Biostatistics II

Description from DukeHub

This course revisits the topics covered in BIOSTAT 703 in the context of high-throughput, high-dimensional studies such as genomics and transcriptomics. The course will be based on the reading of both the textbook and research papers. Students will learn the biology and technology underlying the generation of 'big data,' and the computational and statistical challenges associated with the analysis of such data sets. As with BIOSTAT 703, there will be a strong emphasis on the development of communication skills via written and oral presentations. Credits: 3

Skills

• data and statisticstitle: "biostatistics"
• public speakingdescription: "communication skills" and 1 more

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in BIOSTAT

• Introduction to Statistical Theory and Methods II BIOSTAT 704
• Applied Biostatistical Methods II BIOSTAT 705
• Clinical Trial Design and Analysis BIOSTAT 708
• Introduction to Causal Inference BIOSTAT 709
• Analysis of Correlated and Longitudinal Data BIOSTAT 718
• Introduction to Statistical Programming II (SAS) BIOSTAT 722

All BIOSTAT courses · All of Health professions