Bayesian Statistics Specialization
Master Bayesian statistics with UC Santa Cruz. Learn statistical modeling, time series analysis, and R programming for data-driven insights and implementation.
Master Bayesian statistics with UC Santa Cruz. Learn statistical modeling, time series analysis, and R programming for data-driven insights and implementation.
This comprehensive specialization from UC Santa Cruz covers the foundations of Bayesian statistics through advanced applications. Students progress from basic probability concepts to complex topics like mixture models and dynamic linear modeling. The program combines theoretical understanding with practical implementation in R, featuring hands-on projects and real-world data analysis. Through five courses, learners master Bayesian inference, statistical modeling, time series forecasting, and hierarchical modeling techniques.
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What you'll learn
Master Bayesian statistical concepts and methodologies, develop proficiency in R programming for statistical analysis, learn to build and interpret hierarchical models, gain expertise in time series forecasting and analysis, create and evaluate mixture models for classification, apply Bayesian inference to real-world data problems, design and implement complex statistical analyses.
Skills you'll gain
This course includes:
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There are 5 courses in this program
Bayesian Statistics: From Concept to Data Analysis
Course 1 · 11 Hours to complete · 4 modules
Bayesian Statistics: Techniques and Models
Course 2 · 29 Hours to complete · 5 modules
Bayesian Statistics: Mixture Models
Course 3 · 21 Hours to complete · 5 modules
Bayesian Statistics: Time Series Analysis
Course 4 · 22 Hours to complete · 5 modules
Bayesian Statistics: Capstone Project
Course 5 · 11 Hours to complete · 4 modules
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