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Results for "inférence+statistique"
Johns Hopkins University
Skills you'll gain: Biostatistics, General Statistics, Probability & Statistics, Regression, Statistical Analysis, Data Analysis, Statistical Tests
Johns Hopkins University
Skills you'll gain: Biostatistics, General Statistics, Probability & Statistics, Regression, Statistical Tests, Data Analysis, Critical Thinking, Statistical Analysis, Problem Solving
Skills you'll gain: Forecasting, Machine Learning, Data Analysis, Probability & Statistics, Statistical Analysis, Human Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Dimensionality Reduction
University of California, Santa Cruz
Skills you'll gain: Mathematics, Bayesian Statistics, Forecasting, R Programming
Skills you'll gain: Exploratory Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Data Visualization, Regression
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Algebra, Regression
Status: FreeUniversity of Colorado Boulder
Skills you'll gain: General Statistics, Microsoft Excel
Tufts University
Skills you'll gain: Microsoft Excel, Python Programming
Universidade de São Paulo
Skills you'll gain: Probability & Statistics, General Statistics, Statistical Tests, Statistical Analysis, Basic Descriptive Statistics, Probability Distribution
Databricks
Skills you'll gain: General Statistics, Probability & Statistics
Wesleyan University
Skills you'll gain: Regression
Skills you'll gain: General Statistics, Python Programming
In summary, here are 10 of our most popular inférence+statistique courses
- Multiple Regression Analysis in Public Health : Johns Hopkins University
- Simple Regression Analysis in Public Health : Johns Hopkins University
- Specialized Models: Time Series and Survival Analysis: IBM
- Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
- Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
- Hypothesis Testing with Python and Excel: Tufts University
- Estatística não-paramétrica para a tomada de decisão: Universidade de São Paulo
- Bayesian Inference with MCMC: Databricks
