Advanced Statistical Techniques for Data Science

Coursera MOOC / Non-credit USD 49

Enroll now →

Advanced Statistical Techniques for Data Science

About this course

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.

What you'll learn

understanding linear regression
performing model diagnostics
executing variable selection
applying Bayesian statistics
preparing data for analysis

Skills you'll gain

data analysis data science statistics data preparation linear regression research model diagnostics bayesian statistics complex datasets variable selection

Related courses

Data Science Foundations

Data Analytics in the Public Sector with R

Data Science as a Field

Geographic Information Systems (GIS)

Statistical Methods and Data Analysis

Enhancing Reproducible Science with GitHub and Docker

Programming for Python Data Science: Principles to Practice

Data Visualization & Analytics in Tableau

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.