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