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Cours R
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Principes de base de la programmation R
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Passer Une ÉvaluationParcourir les cours et cursus R
154 résultatscours
Introduction à R
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Intermédiaire R
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Introduction au Tidyverse
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Introduction to Data Visualization with ggplot2
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Introduction aux statistiques en R
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Data Manipulation with dplyr
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Introduction to Regression in R
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Introduction to Importing Data in R
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Exploratory Data Analysis in R
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Joining Data with dplyr
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Cleaning Data in R
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Hypothesis Testing in R
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Supervised Learning in R: Classification
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Intermediate Data Visualization with ggplot2
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Intermediate Regression in R
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Introduction to R for Finance
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Reporting with R Markdown
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Reshaping Data with tidyr
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Writing Efficient R Code
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Introduction to Writing Functions in R
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Foundations of Probability in R
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Sampling in R
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Foundations of Inference in R
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Linear Algebra for Data Science in R
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Communicating with Data in the Tidyverse
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Modeling with Data in the Tidyverse
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Supervised Learning in R: Regression
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Intermediate R for Finance
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Unsupervised Learning in R
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Building Web Applications with Shiny in R
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Intermediate Importing Data in R
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Manipulating Time Series Data in R
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RNA-Seq with Bioconductor in R
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Case Study: Exploratory Data Analysis in R
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Machine Learning with caret in R
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Time Series Analysis in R
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Introduction to Text Analysis in R
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Experimental Design in R
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Object-Oriented Programming with S3 and R6 in R
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Introduction to Bioconductor in R
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Introduction to Portfolio Analysis in R
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Visualization Best Practices in R
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Machine Learning with Tree-Based Models in R
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Hierarchical and Mixed Effects Models in R
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Generalized Linear Models in R
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Working with Dates and Times in R
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Forecasting in R
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Network Analysis in R
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ARIMA Models in R
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Cluster Analysis in R
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Fundamentals of Bayesian Data Analysis in R
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Web Scraping in R
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Survival Analysis in R
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Building Dashboards with shinydashboard
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Analyzing Survey Data in R
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Modeling with tidymodels in R
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Visualizing Geospatial Data in R
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Importing and Managing Financial Data in R
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Life Insurance Products Valuation in R
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Categorical Data in the Tidyverse
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Dealing With Missing Data in R
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Inference for Categorical Data in R
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Credit Risk Modeling in R
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Machine Learning in the Tidyverse
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Inference for Linear Regression in R
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Interactive Data Visualization with plotly in R
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Quantitative Risk Management in R
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String Manipulation with stringr in R
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Visualizing Time Series Data in R
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Factor Analysis in R
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Bond Valuation and Analysis in R
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Inference for Numerical Data in R
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Handling Missing Data with Imputations in R
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Structural Equation Modeling with lavaan in R
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Data Manipulation with data.table in R
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HR Analytics: Exploring Employee Data in R
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Developing R Packages
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Interactive Maps with leaflet in R
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Differential Expression Analysis with limma in R
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A/B Testing in R
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Case Study: Analyzing City Time Series Data in R
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Analyzing Social Media Data in R
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ChIP-seq with Bioconductor in R
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Intermediate Portfolio Analysis in R
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Introduction to Natural Language Processing in R
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Feature Engineering in R
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Machine Learning for Marketing Analytics in R
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Nonlinear Modeling with Generalized Additive Models (GAMs) in R
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Equity Valuation in R
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Case Studies: Building Web Applications with Shiny in R
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Dimensionality Reduction in R
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R For SAS Users
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Business Process Analytics in R
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Support Vector Machines in R
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Market Basket Analysis in R
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Analyzing US Census Data in R
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Practicing Statistics Interview Questions in R
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Programming with dplyr
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Multivariate Probability Distributions in R
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Foundations of Functional Programming with purrr
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GARCH Models in R
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Text Mining with Bag-of-Words in R
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Choice Modeling for Marketing in R
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Financial Trading in R
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Intermediate Regular Expressions in R
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Joining Data with data.table in R
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Bayesian Regression Modeling with rstanarm
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Building Dashboards with flexdashboard
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Sentiment Analysis in R
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Parallel Programming in R
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Fraud Detection in R
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Hyperparameter Tuning in R
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Bayesian Modeling with RJAGS
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HR Analytics: Predicting Employee Churn in R
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Forecasting Product Demand in R
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Visualizing Big Data with Trelliscope in R
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Defensive R Programming
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Building Response Models in R
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Introduction to Anomaly Detection in R
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Probability Puzzles in R
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Optimizing R Code with Rcpp
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Intermediate Functional Programming with purrr
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Mixture Models in R
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Intermediate Interactive Data Visualization with plotly in R
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Scalable Data Processing in R
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Predictive Analytics using Networked Data in R
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Case Studies: Network Analysis in R
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Scientifique de données associé en R
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Principes de base de la programmation R
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Analyste de données en R
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Principes de la statistique en R
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Visualisation des données en R
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R Développeur
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Statisticien en R
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Scientifique des données en R
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Analyste quantitatif en R
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Principes fondamentaux de l'apprentissage automatique en R
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Manipulation de données en R
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Scientifique en apprentissage automatique en R
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Analyse des données génomiques en R
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Principes de base de Tidyverse en R
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Fondamentaux de la brillance en R
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Séries chronologiques en R
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Importation et nettoyage des données en R
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Inférence statistique en R
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Analyse marketing en R
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Principes fondamentaux de la finance en R
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Big Data en R
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Apprentissage automatique supervisé en R
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Exploration de texte en R
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Visualisation interactive des données en R
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Finance appliquée en R
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Analyse du réseau en R
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Boîte à outils Tidyverse intermédiaire
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