Filter by
The language used throughout the course, in both instruction and assessments.
Results for "question+modeling"
Status: FreeThe University of Melbourne
University of California, Irvine
Skills you'll gain: Writing
University of Michigan
Skills you'll gain: General Statistics, Probability & Statistics, Regression, Statistical Analysis, Statistical Tests, Correlation And Dependence, Data Analysis, Plot (Graphics), Statistical Visualization, Probability Distribution, Bayesian Statistics
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Regression, Algebra, Correlation And Dependence
Wesleyan University
Skills you'll gain: Regression
Coursera Project Network
Skills you'll gain: SQL
Imperial College London
Imperial College London
Skills you'll gain: R Programming
Johns Hopkins University
Skills you'll gain: Algebra, Mathematics, Calculus, Linear Algebra, Mathematical Theory & Analysis
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Algebra, Regression
University of Colorado Boulder
Skills you'll gain: General Statistics, Probability & Statistics, Regression, Statistical Analysis, Experiment, Statistical Tests, Calculus, Linear Algebra, R Programming
In summary, here are 10 of our most popular question+modeling courses
- Advanced Modeling for Discrete Optimization:Â The University of Melbourne
- Questions, Present Progressive and Future Tenses:Â University of California, Irvine
- Fitting Statistical Models to Data with Python:Â University of Michigan
- Advanced Linear Models for Data Science 1: Least Squares:Â Johns Hopkins University
- Regression Modeling in Practice:Â Wesleyan University
- Create a Database with the Modeling Tool in MySQL Workbench:Â Coursera Project Network
- Developing the SIR Model:Â Imperial College London
- Infectious Disease Modelling:Â Imperial College London
- Calculus through Data & Modeling: Precalculus Review:Â Johns Hopkins University
- Advanced Linear Models for Data Science 2: Statistical Linear Models:Â Johns Hopkins University
