Probabilités et statistiques

Les cours Probabilités et statistiques enseignent des compétences permettant de déterminer si des données sont significatives ou non, notamment l'optimisation, l'inférence et les tests. Les cours présentent également d'autres méthodes d'analyse de tendances dans des données et leur utilisation pour prévoir, comprendre et améliorer des résultats.

...
R Programming
Johns Hopkins University
R Programming
Cours
Understanding Clinical Research: Behind the Statistics
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Cours
Introduction to Probability and Data with R
Duke University
Introduction to Probability and Data with R
Cours
Understanding and Visualizing Data with Python
University of Michigan
Understanding and Visualizing Data with Python
Cours
Probability and Statistics: To p or not to p?
University of London
Probability and Statistics: To p or not to p?
Cours
Basic Statistics
University of Amsterdam
Basic Statistics
Cours
Bayesian Statistics: From Concept to Data Analysis
University of California, Santa Cruz
Bayesian Statistics: From Concept to Data Analysis
Cours
A Crash Course in Causality:  Inferring Causal Effects from Observational Data
University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Cours
Summary Statistics in Public Health
Johns Hopkins University
Summary Statistics in Public Health
Cours
Econometrics: Methods and Applications
Erasmus University Rotterdam
Econometrics: Methods and Applications
Cours
Bayesian Statistics: Techniques and Models
University of California, Santa Cruz
Bayesian Statistics: Techniques and Models
Cours
Introduction to Statistics & Data Analysis in Public Health
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Cours
Getting and Cleaning Data
Johns Hopkins University
Getting and Cleaning Data
Cours
Practical Time Series Analysis
The State University of New York
Practical Time Series Analysis
Cours
Statistical Inference
Johns Hopkins University
Statistical Inference
Cours
Inferential Statistics
Duke University
Inferential Statistics
Cours
Improving your statistical inferences
Eindhoven University of Technology
Improving your statistical inferences
Cours
Statistical Thinking for Industrial Problem Solving, presented by JMP
SAS
Statistical Thinking for Industrial Problem Solving, presented by JMP
Cours
Exploratory Data Analysis
Johns Hopkins University
Exploratory Data Analysis
Cours

    Questions fréquentes sur Probabilités et statistiques

  • Probability is the study of the likelihood an event will happen, and statistics is the analysis of large datasets, usually with the goal of either usefully describing this data or inferring conclusions about a larger dataset based on a representative sample. These two branches of mathematics can be considered two sides of a coin: statistics help you to understand the past, and probability helps you use that knowledge to predict the future!

    Statistics and probability are essential tools for data science. These skills enable you to determine whether your data collection methods are sound, derive relevant insights from massive datasets, build analytic models that produce usable results, and much more. Important concepts and skills in the data science context include sampling distributions, statistical significance, hypothesis testing, and regression analysis.