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Results for "inférence+statistique"
University of Washington
Skills you'll gain: Computer Programming, R Programming
Coursera Project Network
Skills you'll gain: Regression
- Status: Free
Columbia University
Skills you'll gain: Mathematics
Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Data Visualization, General Statistics, Probability & Statistics, Python Programming, Statistical Analysis, Statistical Tests, Probability Distribution, Statistical Visualization, Forecasting, Microsoft Excel
- Status: Free
Eindhoven University of Technology
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Statistical Tests
- Status: Free
University of Cape Town
Coursera Project Network
Skills you'll gain: Computer Programming, Data Visualization, Python Programming, Statistical Analysis
Illinois Tech
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics
Coursera Project Network
Skills you'll gain: Basic Descriptive Statistics, General Statistics, Statistical Analysis
University of Colorado Boulder
Skills you'll gain: Machine Learning, Data Science, R Programming, Regression, Statistical Analysis
Johns Hopkins University
Skills you'll gain: Data Analysis, General Statistics, Basic Descriptive Statistics, Data Visualization, Exploratory Data Analysis, Probability & Statistics, Research and Design, Statistical Analysis, Statistical Tests
In summary, here are 10 of our most popular inférence+statistique courses
- Practical Predictive Analytics: Models and Methods: University of Washington
- Essential Causal Inference Techniques for Data Science: Coursera Project Network
- Causal Inference 2: Columbia University
- Statistical Analysis Fundamentals using Excel: IBM
- Improving Your Statistical Questions: Eindhoven University of Technology
- Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town
- Basic Statistics in Python (Correlations and T-tests): Coursera Project Network
- Statistical Learning: Illinois Tech
- Calculus through Data & Modelling: Series and Integration: Johns Hopkins University
- Statistics For Data Science: Coursera Project Network