Filter by
The language used throughout the course, in both instruction and assessments.
Results for "causal+modeling"
Imperial College London
University of Washington
Skills you'll gain: Algorithms, Machine Learning, Regression, Machine Learning Algorithms, Applied Machine Learning, Human Learning, Python Programming, Statistical Machine Learning, Mathematics, Data Analysis
Coursera Project Network
Skills you'll gain: R Programming, Statistical Analysis
Universidad de los Andes
Skills you'll gain: Algorithms, Probability & Statistics, Regression, Statistical Machine Learning, Machine Learning Algorithms
Imperial College London
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning, Probability & Statistics, Human Learning, Algorithms
Johns Hopkins University
University of Colorado Boulder
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, Data Model, Statistical Analysis, Exploratory Data Analysis, Basic Descriptive Statistics, Business Analysis, Data Analysis Software
Johns Hopkins University
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, Statistical Analysis, Statistical Tests
- Status: Free
Skills you'll gain: R Programming
Johns Hopkins University
Skills you'll gain: Mathematics, Problem Solving, Data Model, Regression, Algebra, Applied Mathematics, Data Analysis, Mathematical Theory & Analysis, Plot (Graphics)
University of Minnesota
Skills you'll gain: Data Analysis, Forecasting, General Statistics, Regression, Spreadsheet Software, Statistical Analysis, Microsoft Excel, Probability & Statistics, Basic Descriptive Statistics, Plot (Graphics)
In summary, here are 10 of our most popular causal+modeling courses
- Interventions and Calibration:Â Imperial College London
- Machine Learning: Regression:Â University of Washington
- Building Statistical Models in R: Linear Regression:Â Coursera Project Network
- Modelos predictivos con aprendizaje automático: Universidad de los Andes
- Developing the SIR Model:Â Imperial College London
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Infectious Disease Modeling in Practice:Â Johns Hopkins University
- Predictive Modeling and Analytics :Â University of Colorado Boulder
- Quantifying Relationships with Regression Models:Â Johns Hopkins University
- Variable Selection, Model Validation, Nonlinear Regression:Â Illinois Tech