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Bayesian Modeling with RJAGS
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Linear Algebra for Data Science in R
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Fundamentals of Bayesian Data Analysis in R
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AB Testing in R
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Experimental Design in R
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Dealing With Missing Data in R
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Foundations of Inference
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Multiple and Logistic Regression in R
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Case Studies: Network Analysis in R
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Predictive Analytics using Networked Data in R
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Cluster Analysis in R
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Unsupervised Learning in R
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Supervised Learning in R: Classification
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Correlation and Regression in R
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Case Study: Exploratory Data Analysis in R
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Exploratory Data Analysis in R
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Introduction to Writing Functions in R
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Working with Dates and Times in R
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Cleaning Data in R
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Intermediate Importing Data in R
DataCamp - Filip Schouwenaars
Introduction to Importing Data in R
DataCamp - Filip Schouwenaars
Intermediate Data Visualization with ggplot2
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Joining Data with dplyr
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Data Manipulation with dplyr
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Introduction to the Tidyverse
DataCamp - David Robinson
Intermediate R
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Introduction to R
DataCamp - Jonathan Cornelissen
foundations of probability in R
DataCamp - David Robinson
network analysis in R
DataCamp - James Curley
introduction to data visualization with ggplot2
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building web applications with Shiny in R
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survival analysis in R
DataCamp - Heidi Seibold
case studies - manipulating time series data in R
DataCamp - Lore Dirick
visualizing time series data in R
DataCamp - Arnaud Amsellem
forecasting in R
DataCamp - Rob Hyndman
ARIMA Models in R
DataCamp - David Stoffer
time series analysis in R
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