- All
- Favorite
- Popular
- Most rated
Mixture Models in R
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Probability Puzzles in R
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Bayesian Modeling with RJAGS
In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.
Multivariate Probability Distributions in R
Learn to analyze, plot, and model multivariate data.
Inference for Numerical Data in R
In this course you'll learn techniques for performing statistical inference on numerical data.
GARCH Models in R
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Case Studies in Statistical Thinking
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Bayesian Regression Modeling with rstanarm
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Inference for Categorical Data in R
In this course you'll learn how to leverage statistical techniques for working with categorical data.
Structural Equation Modeling with lavaan in R
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
Inference for Linear Regression in R
In this course you'll learn how to perform inference using linear models.
A/B Testing in R
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
Survival Analysis in Python
Use survival analysis to work with time-to-event data and predict survival time.
Dimensionality Reduction in R
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Factor Analysis in R
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Survival Analysis in R
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!
Practicing Statistics Interview Questions in R
In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Statistical Simulation in Python
Learn to solve increasingly complex problems using simulations to generate and analyze data.
ARIMA Models in R
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Foundations of Inference in Python
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
GARCH Models in Python
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Forecasting in R
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Hierarchical and Mixed Effects Models in R
In this course you will learn to fit hierarchical models with random effects.