Filter by
The language used throughout the course, in both instruction and assessments.
Results for "time-to-event+modeling"
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics
Status: FreeCoursera Project Network
Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Data Visualization, Interactive Data Visualization, Machine Learning, Python Programming
Coursera Project Network
Skills you'll gain: Deep Learning, Python Programming, Tensorflow
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Algebra, Regression
University of Michigan
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Python Programming, Regression, Statistical Programming
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning, Probability & Statistics, Human Learning, Algorithms
Databricks
Skills you'll gain: General Statistics, Probability & Statistics
Johns Hopkins University
Status: Free
University of California, Irvine
Skills you'll gain: Data Analysis, Data Model, General Statistics, Machine Learning, Probability & Statistics, Regression, Statistical Analysis
University of Colorado Boulder
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, Data Model, Statistical Analysis, Exploratory Data Analysis, Business Analysis, Machine Learning, Statistical Visualization
University of California, Davis
In summary, here are 10 of our most popular time-to-event+modeling courses
- Calculus through Data & Modelling: Series and Integration: Johns Hopkins University
- Forecast bikeshare demand using time series models in R: Coursera Project Network
- Optimize TensorFlow Models For Deployment with TensorRT: Coursera Project Network
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- Prediction Models with Sports Data: University of Michigan
- Probabilistic Graphical Models 3: Learning: Stanford University
- Bayesian Inference with MCMC: Databricks
- Infectious Disease Modeling in Practice: Johns Hopkins University
- Quantitative Formal Modeling and Worst-Case Performance Analysis: EIT Digital
- Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
