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Cours sur les probabilités et les statistiques

Les cours de probabilités et de statistiques explorent les concepts mathématiques permettant d'analyser les événements aléatoires et d'interpréter les données à l'aide de modèles et d'inférences. Utilisez des outils tels que Python, R, Excel et Google Sheets pour appliquer vos connaissances théoriques en statistiques.
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Recommandé aux débutants en probabilités et statistiques

Développez vos compétences en probabilités et statistiques grâce à des cours interactifs dispensés par des experts du monde réel.

cours

Introduction aux statistiques en R

IntermediateSkill Level
4 heures
3.3K
Développez vos compétences statistiques et apprenez à collecter, analyser et tirer des conclusions précises à partir de données.

cursus

Statisticien en R

52 heures
49
Le statisticien collecte et analyse des données et aide les entreprises à donner un sens aux données quantitatives, notamment en repérant les tendances et en faisant des prévisions.

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cours

Introduction to Statistics in Python

IntermediateSkill Level
4 heures
6.5K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

cours

Introduction to Statistics

BeginnerSkill Level
4 heures
5.5K
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

cours

Introduction aux statistiques en R

IntermediateSkill Level
4 heures
3.3K
Développez vos compétences statistiques et apprenez à collecter, analyser et tirer des conclusions précises à partir de données.

cours

Introduction to Regression in R

IntermediateSkill Level
4 heures
2.7K
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

cours

Tests d'hypothèses en Python

IntermediateSkill Level
4 heures
2.7K
Apprenez comment et quand utiliser les tests dhypothèse courants comme les tests t, les tests de proportion et les tests du khi-deux en Python.

cours

L'échantillonnage en Python

IntermediateSkill Level
4 heures
2.9K
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

cours

Hypothesis Testing in R

IntermediateSkill Level
4 heures
1.4K
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

cours

Experimental Design in Python

IntermediateSkill Level
4 heures
1.2K
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

cours

Intermediate Regression in R

IntermediateSkill Level
4 heures
1.1K
Learn to perform linear and logistic regression with multiple explanatory variables.

cours

Time Series Analysis in Python

IntermediateSkill Level
4 heures
486
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

cours

Foundations of Probability in R

BeginnerSkill Level
4 heures
883
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

cours

Sampling in R

IntermediateSkill Level
4 heures
878
Master sampling to get more accurate statistics with less data.

cours

A/B Testing in Python

IntermediateSkill Level
4 heures
285
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

cours

Foundations of Inference in R

IntermediateSkill Level
4 heures
601
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

cours

Linear Algebra for Data Science in R

IntermediateSkill Level
4 heures
216
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

cours

Modeling with Data in the Tidyverse

IntermediateSkill Level
4 heures
535
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

cours

Bayesian Data Analysis in Python

IntermediateSkill Level
4 heures
303
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

cours

Statistical Techniques in Tableau

IntermediateSkill Level
4 heures
474
Take your reporting skills to the next level with Tableau’s built-in statistical functions.

cours

RNA-Seq with Bioconductor in R

IntermediateSkill Level
4 heures
203
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

cours

Time Series Analysis in R

IntermediateSkill Level
4 heures
294
Learn the core techniques necessary to extract meaningful insights from time series data.

cours

Experimental Design in R

IntermediateSkill Level
4 heures
293
In this course youll learn about basic experimental design, a crucial part of any data analysis.

cours

Introduction to Bioconductor in R

IntermediateSkill Level
4 heures
165
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

cours

Introduction to Linear Modeling in Python

IntermediateSkill Level
4 heures
356
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

cours

Anomaly Detection in Python

IntermediateSkill Level
4 heures
110
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

cours

Foundations of Probability in Python

IntermediateSkill Level
5 heures
250
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

cours

Generalized Linear Models in R

IntermediateSkill Level
4 heures
307
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

cours

Forecasting in R

IntermediateSkill Level
5 heures
201
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

cours

Generalized Linear Models in Python

AdvancedSkill Level
5 heures
264
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

cours

Network Analysis in R

IntermediateSkill Level
4 heures
248
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

cours

ARIMA Models in R

IntermediateSkill Level
4 heures
277
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

cours

Survival Analysis in R

IntermediateSkill Level
4 heures
218
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

cours

Analyzing Survey Data in R

IntermediateSkill Level
4 heures
144
Learn survey design using common design structures followed by visualizing and analyzing survey results.

cours

Factor Analysis in R

AdvancedSkill Level
4 heures
127
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

cours

Foundations of Inference in Python

AdvancedSkill Level
4 heures
105
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

cours

Analyzing Survey Data in Python

IntermediateSkill Level
4 heures
91
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

cours

Survival Analysis in Python

AdvancedSkill Level
4 heures
35
Use survival analysis to work with time-to-event data and predict survival time.

cours

Statistical Simulation in Python

IntermediateSkill Level
4 heures
44
Learn to solve increasingly complex problems using simulations to generate and analyze data.

cours

Error and Uncertainty in Google Sheets

IntermediateSkill Level
4 heures
140
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

cours

A/B Testing in R

IntermediateSkill Level
4 heures
48
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

cours

Discrete Event Simulation in Python

AdvancedSkill Level
4 heures
26
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

cours

ChIP-seq with Bioconductor in R

IntermediateSkill Level
4 heures
89
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

cours

Performing Experiments in Python

IntermediateSkill Level
4 heures
67
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

cours

Practicing Statistics Interview Questions in R

AdvancedSkill Level
4 heures
37
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

cours

Case Studies in Statistical Thinking

IntermediateSkill Level
4 heures
38
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

cours

Bayesian Modeling with RJAGS

AdvancedSkill Level
4 heures
24
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

cours

Forecasting Product Demand in R

IntermediateSkill Level
4 heures
15
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

cours

Building Response Models in R

AdvancedSkill Level
4 heures
35
Learn to build simple models of market response to increase the effectiveness of your marketing plans.

cours

Probability Puzzles in R

IntermediateSkill Level
4 heures
31
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

cours

Mixture Models in R

IntermediateSkill Level
4 heures
13
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
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Questions fréquemment posées

Quel est le lien entre les probabilités et les statistiques et la science des données ?

Les probabilités et les statistiques sont à la base de la science des données, car elles offrent les outils et les cadres nécessaires pour analyser les données, faire des prédictions et obtenir des informations significatives. Ils permettent aux scientifiques des données de comprendre les modèles, d'évaluer les incertitudes et de prendre des décisions éclairées sur la base de l'analyse des données.

Pourquoi est-il important d'acquérir des connaissances en probabilités et en statistiques ?

Le développement de connaissances en probabilités et en statistiques est essentiel pour interpréter efficacement les données et faire des prédictions fiables. Cette compréhension constitue la base de la conception d'expériences, de l'analyse des résultats et de la validation des conclusions dans divers domaines, garantissant que les décisions sont fondées sur des données et des preuves.

Quelles sont les carrières possibles avec des connaissances en probabilités et en statistiques ?

Avec des connaissances en probabilités et en statistiques, vous pouvez poursuivre un large éventail de carrières telles que data scientist, market researcher, machine learning engineer, statistical analyst, et risk manager. Ces fonctions s'exercent dans divers secteurs, notamment la finance, les soins de santé, les technologies et les administrations publiques, où l'interprétation des données et la prise de décisions fondées sur des données probantes sont essentielles.

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