Filter by
The language used throughout the course, in both instruction and assessments.
Results for "probabilistic+modeling"
Duke University
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling
University of Colorado Boulder
Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Probability & Statistics, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning
University of Colorado Boulder
Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Mathematical Modeling, Machine Learning, Statistical Inference, Probability Distribution
Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Predictive Analytics, Big Data, Regression Analysis, Data Analysis Software, Statistical Machine Learning, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Cleansing, Data Transformation
University of Colorado Boulder
Skills you'll gain: Probability, Probability Distribution, Statistics, Bayesian Statistics, Data Science, Statistical Analysis, Statistical Inference, Descriptive Statistics
Macquarie University
Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Statistical Modeling, Trend Analysis, Business Planning, Statistical Analysis, Data Visualization Software
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation
Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing
University of California, Irvine
Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Modeling, Data Analysis, Analytics, Descriptive Analytics, Forecasting, Machine Learning, Unsupervised Learning
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Statistics, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm, Algorithms
University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Statistical Methods, Probability & Statistics, Unsupervised Learning, Statistical Inference, Probability Distribution, Machine Learning Algorithms
In summary, here are 10 of our most popular probabilistic+modeling courses
- Linear Regression and Modeling : Duke University
- Regression and Classification: University of Colorado Boulder
- Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
- Predictive Modeling with Logistic Regression using SAS : SAS
- Probability Theory: Foundation for Data Science: University of Colorado Boulder
- Excel Regression Models for Business Forecasting: Macquarie University
- Bayesian Statistics: Duke University
- Machine Learning: Regression: University of Washington
- Regression Modeling Fundamentals: SAS
- Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine