Advanced Statistical Techniques for Data Science

This specialization provides a comprehensive understanding of advanced statistical techniques used in data science. Learners will explore linear regression, model diagnostics, variable selection, Bayesian statistics, and data preparation. The courses are designed to equip data scientists and researchers with the skills needed to analyze complex data sets and draw meaningful conclusions

• Perform linear and nonlinear regression analysis using R
• Diagnose and remediate issues in regression models
• Apply Bayesian statistical methods for data analysis and inference

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work