Filter by
The language used throughout the course, in both instruction and assessments.
Results for "probabilistic+models"
University of Michigan
Skills you'll gain: Data Analysis, Statistical Analysis
University of Colorado Boulder
Skills you'll gain: General Statistics, Statistical Analysis, Probability & Statistics, Regression, R Programming
Status: FreeUniversity of Leeds
Skills you'll gain: Data Analysis, Data Visualization Software
University of Colorado Boulder
Skills you'll gain: General Statistics, Probability & Statistics, Regression, Calculus, Linear Algebra
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, SAS (Software), Statistical Analysis, Statistical Programming, Data Model, Statistical Tests, Statistical Visualization
Howard University
Imperial College London
Skills you'll gain: R Programming
Vanderbilt University
University of Glasgow
Skills you'll gain: SAS (Software), Statistical Programming, Data Analysis, Data Mining, Machine Learning, Probability & Statistics, Regression, Statistical Analysis, Statistical Machine Learning
University of Minnesota
Skills you'll gain: Decision Making, Business Analysis, Data Analysis, Generally Accepted Accounting Principles (GAAP), Statistical Machine Learning, Strategy and Operations, Operations Management
Illinois Tech
Skills you'll gain: Bayesian Statistics
In summary, here are 10 of our most popular probabilistic+models courses
- Linear Regression Modeling for Health Data:Â University of Michigan
- Modern Regression Analysis in R:Â University of Colorado Boulder
- Statistical Methods:Â University of Leeds
- Generalized Linear Models and Nonparametric Regression:Â University of Colorado Boulder
- Regression Modeling Fundamentals:Â SAS
- Building Regression Models with Linear Algebra:Â Howard University
- Building on the SIR Model:Â Imperial College London
- Generative AI and Model Selection:Â Vanderbilt University
- Explainable deep learning models for healthcare - CDSS 3:Â University of Glasgow
- Predictive Modeling with Logistic Regression using SAS :Â SAS
