Stastistics
Statistician R Cources
Foundational Statistics
Statistician
- Function: Professional role combining statistical theory, R programming, and data analysis expertise for research and business insights
- Website: https://www.amstat.org
- Cost Model: Career Path
Introduction to Statistics in R
- Function: Comprehensive introduction to statistical concepts and R programming fundamentals for data analysis and visualization
- Website: https://www.datacamp.com
- Cost Model: Subscription
Foundations of Probability in R
- Function: Core probability theory, distributions, and random variables using R for statistical modeling and inference
- Website: https://www.datacamp.com
- Cost Model: Subscription
Foundations of Inference in R
- Function: Statistical inference principles including confidence intervals, hypothesis testing, and p-values using R programming
- Website: https://www.datacamp.com
- Cost Model: Subscription
Regression & Modeling
Introduction to Regression in R
- Function: Linear regression fundamentals, model building, diagnostics, and interpretation using R statistical packages
- Website: https://www.datacamp.com
- Cost Model: Subscription
Intermediate Regression in R
- Function: Advanced regression techniques including multiple regression, polynomial regression, and model selection strategies
- Website: https://www.datacamp.com
- Cost Model: Subscription
Hierarchical and Mixed Effects Models in R
- Function: Multi-level modeling, random effects, and nested data analysis using lme4 and similar R packages
- Website: https://www.datacamp.com
- Cost Model: Subscription
Specialized Analysis Methods
Sampling in R
- Function: Sampling theory, survey design, and sampling distributions with practical R implementations for data collection
- Website: https://www.datacamp.com
- Cost Model: Subscription
Hypothesis Testing in R
- Function: Statistical hypothesis testing, t-tests, ANOVA, chi-square tests, and non-parametric methods using R
- Website: https://www.datacamp.com
- Cost Model: Subscription
Experimental Design in R
- Function: Design of experiments, randomization, blocking, factorial designs, and analysis using R statistical tools
- Website: https://www.datacamp.com
- Cost Model: Subscription
Analyzing Survey Data in R
- Function: Survey data analysis techniques, weighting, complex sampling designs, and survey package utilization in R
- Website: https://www.datacamp.com
- Cost Model: Subscription
Advanced Statistical Methods
Survival Analysis in R
- Function: Time-to-event analysis, Kaplan-Meier curves, Cox regression, and survival modeling using R survival packages
- Website: https://www.datacamp.com
- Cost Model: Subscription
Fundamentals of Bayesian Data Analysis in R
- Function: Bayesian inference, MCMC methods, prior distributions, and posterior analysis using R and Stan/JAGS
- Website: https://www.datacamp.com
- Cost Model: Subscription
Factor Analysis in R
- Function: Exploratory and confirmatory factor analysis, dimensionality reduction, and latent variable modeling in R
- Website: https://www.datacamp.com
- Cost Model: Subscription