Statistics and Big Data Analytics

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Understanding statistics is essential for working in the biomedical sciences. Below are some resources ranging from refresher courses to more advanced statistical topics.

Available resources

Since offerings are always evolving, this list may not be comprehensive. Still have questions?

TopicTitleSponsorCostCredit
Big Data Analytics CourseAICD3 203: Fundamentals of Machine LearningSOP$yes
Big Data Analytics CourseAICD3 204: Computation and AI in Drug Discovery and DevelopmentSOP$yes
Big Data Analytics CourseAICD3 205: Modeling for Drug DevelopmentSOP$yes
Big Data Analytics CourseBIOE 245: Machine Learning in Medical ImagingGrad Div$yes
Big Data Analytics CourseDATASCI 202: Opportunities and Challenges of Complex Biomedical Data: Introduction to the Science of "Big Data"Epi/Biostat$yes
Big Data Analytics CourseDATASCI 216: Machine Learning in R for the Biomedical SciencesEpi/Biostat$yes
Big Data Analytics CourseBMI/BIOE 212: Deep Learning for Biological and Clinical ResearchGrad Div$yes
Big Data Analytics Course DATASCI 223: Applied Data Science with PythonEpi/Biostat$yes
Big Data Analytics CourseDATASCI 224: Understanding Machine Learning: From Theory to ApplicationsEpi/Biostat$yes
Big Data Analytics Course DATASCI 226: Bayesian Methods and Gaussian ProcessesEpi/Biostat$yes
Big Data Analytics CourseGenerative AI FoundationsLibrary$yes
Big Data Analytics CourseGoogle AutoML Tools for Machine LearningLibraryfreeno
Big Data Analytics CourseIntroduction to Machine LearningLibraryfreeno
Big Data Analytics CourseMachine LearningGladstonefreeno
Big Data Analytics CourseNLP and Document ClassificationLibraryfreeno
Big Data Analytics CourseR for Machine LearningLibraryfreeno
Consultation ServicesBiostatistics ConsultationCTSI$no
Statistics/Analytics ProgramAdvanced Training in Clinical Research (ATCR)Epi/Biostat$yes
Statistics/Analytics ProgramCertificate in Health Data Science (CiHDaS)Epi/Biostat$yes
Statistics/Analytics ProgramDoctoral Program in Epidemiology & Translational ScienceEpi/Biostat$yes
Statistics/Analytics ProgramMaster's Degree in Health Data Science (MiHDaS)Epi/Biostat$yes
Statistics/Analytics ProgramPhD in Computational Precision HealthUCB/UCSF$yes
Statistics CourseBIOSTAT 200: Biostatistical Methods for Clinical Research IEpi/Biostat$yes
Statistics CourseBIOSTAT 208: Biostatistical Methods for Clinical Research IIEpi/Biostat$yes
Statistics CourseBIOSTAT 209: Biostatistical Methods for Clinical Research IIIEpi/Biostat$yes
Statistics CourseBIOSTAT 210: Biostatistical Methods for Clinical Research IVEpi/Biostat$yes
Statistics CourseBIOSTAT 211: Mathematical Foundations of BiostatisticsEpi/Biostat$yes
Statistics CourseBIOSTAT 215: Advanced Approaches to the Analysis of Observational DataEpi/Biostat$yes
Statistics CourseEPI 213: Cost-Effectiveness Analysis in Medicine and Public HealthEpi/Biostat$yes
Statistics CourseHypothesis testingGladstonefreeno
Statistics CourseIntroduction to Experimental Design and Hypothesis testingGladstonefreeno
Statistics CourseLinear Mixed Effects ModelingGladstonefreeno
Statistics CoursePower and Sample Size Calculations with RLibraryfreeno
Statistics CourseR for StatisticsLibraryfreeno
Statistics CourseRegression Modeling with RLibraryfreeno
Statistics CourseStatistics of Enrichment Analyses MethodsGladstonefreeno
Statistics CourseUnivariate and Bivariate Statistics with RLibraryfreeno
Tutorials/User Support ServicesNLP@UCSF Training and SupportBCHSIfreeno
Statistics CourseBIOSTAT 272: Foundations in Biostatistical Principles and MethodsEpi/Biostat$yes

See the full list of UCSF data science education and training sponsors and a key to the abbreviations.

Can’t find what you’re looking for?

If you are an educator or learner and can’t find a particular UCSF data science training opportunity on this portal, feel free to contact us
 
Note that there are additional data science training opportunities that UCSF employees may access for free or at discounted rates which are outside the scope of this portal. For example, you may want to explore offerings through LinkedIn Learning (all content free through UCSF MyAccess)