6th Summer Institute in Statistics for Big Data (SISBID)

The Summer Institute for Big Data (SISBID) is designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of biological big data.

Each module focuses on a different aspect of Big Data such as organizing and processing data for statistical analysis, visualizing data, or the challenges surrounding reproducible research.

  • The two-and-a-half day module format includes formal lectures, computing labs, and hands-on case studies. Modules run all day Monday/Tuesday and Wednesday morning OR Wednesday afternoon and all day Thursday/Friday.
  • Instructors are world-class faculty with expertise in all aspects of Biological Big Data.
  • Participants are encouraged to enroll in multiple modules to create an experience that best suits their needs. Individuals attending the institute will receive certificates of course completion in recognition of their participation.

2020 Modules

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SISBID
Module 1
Data Wrangling with R
  • Meeting Times
    Mon, Jul 13, 8:30am - Wed, Jul 15, 12pm PST
BD2001: Data Wrangling with R
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SISBID
Module 2
Supervised Methods for Statistical Machine Learning
  • Meeting Times
    Wed, Jul 15, 1:30pm - Fri, Jul 17, 6pm PST
BD2002: Supervised Methods for Statistical Machine Learning
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SISBID
Module 3
Unsupervised Methods for Statistical Machine Learning
  • Meeting Times
    Mon, Jul 20, 8:30am - Wed, Jul 22, 12pm PST
BD2003: Unsupervised Methods for Statistical Machine Learning
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SISBID
Module 4
Visualization of Biomedical Big Data
  • Meeting Times
    Wed, Jul 22, 1:30pm - Fri, Jul 24, 6pm PST
BD2004: Visualization of Biomedical Big Data