135 results for "introduction to probability and data"
Coursera Project Network
Skills you'll gain: Data Visualization
Imperial College London
Skills you'll gain: Epidemiology, Data Collection, Statistical Hypothesis Testing
Skills you'll gain: Statistical Hypothesis Testing, Data Collection, Descriptive Statistics
Rice University
Skills you'll gain: Regression Analysis, Data Analysis, Mathematics and Mathematical Modeling
University of Colorado Boulder
Skills you'll gain: Regression Analysis, SAS (Software), Statistical Programming
Duke University
Skills you'll gain: Logical Reasoning, Bayesian Statistics, Probability and Statistics
Skills you'll gain: Information Privacy, Human Factors Engineering, NIST 800-53
Databricks
Skills you'll gain: Bayesian Statistics, Statistics, Statistical Programming, Statistical Software
Databricks
Skills you'll gain: Machine Learning, Machine Learning Methods, Predictive Modeling
Skills you'll gain: Bayesian Statistics, Bayesian Networks, Statistical Programming
Johns Hopkins University
Skills you'll gain: Regression Analysis, Dimensionality Reduction
Searches related to introduction to probability and data
In summary, here are 10 of our most popular introduction to probability and data courses
- Introduction to Topic Modelling in R: Coursera Project Network
- Validity and Bias in Epidemiology: Imperial College London
- Business Applications of Hypothesis Testing and Confidence Interval Estimation: Rice University
- Linear Regression for Business Statistics: Rice University
- Attitude Control with Momentum Exchange Devices: University of Colorado Boulder
- Regression Modeling Fundamentals: SAS
- Think Again III: How to Reason Inductively: Duke University
- Introduction to Privacy - Part 2: Infosec
- Introduction to Bayesian Statistics: Databricks
- Bayesian Inference with MCMC: Databricks