## Recently Published

##### Bayesian Modeling with RJAGS

DataCamp - Alicia Johnson

##### Inference for Categorical Data in R

DataCamp - Andrew Bray

##### Linear Algebra for Data Science in R

DataCamp - Eric Eager

##### Fundamentals of Bayesian Data Analysis in R

DataCamp - Rasmus Bååth

##### AB Testing in R

DataCamp - Paige Piccinini

##### Experimental Design in R

DataCamp - kaelen medeiros

##### Dealing With Missing Data in R

Datacamp - Nicholas Tierney

##### Foundations of Inference

Datacamp - Jo Hardin

##### Multiple and Logistic Regression in R

Datacamp - Ben Baumer

##### Modeling with Data in the Tidyverse

Datacamp - Albert Y. Kim

##### Case Studies: Network Analysis in R

Datacamp - Ted Hart

##### Predictive Analytics using Networked Data in R

Datacamp - Maria Oskarsdottir

##### Cluster Analysis in R

Datacamp - Dmitriy Gorenshteyn

##### Unsupervised Learning in R

Datacamp - Hank Roark

##### Supervised Learning in R: Classification

DataCamp - Brett Lantz

##### Correlation and Regression in R

DataCamp - Ben Baumer

##### Case Study: Exploratory Data Analysis in R

DataCamp - David Robinson

##### Exploratory Data Analysis in R

DataCamp - Andrew Bray

##### Introduction to Writing Functions in R

DataCamp - Richie Cotton

##### Working with Dates and Times in R

DataCamp - Charlotte Wickham

##### Cleaning Data in R

DataCamp - Maggie Matsui

##### Intermediate Importing Data in R

DataCamp - Filip Schouwenaars

##### Introduction to Importing Data in R

DataCamp - Filip Schouwenaars

##### Intermediate Data Visualization with ggplot2

DataCamp - Rick Scavetta

##### Joining Data with dplyr

DataCamp - Chris Cardillo

##### Data Manipulation with dplyr

DataCamp - Chris Cardillo

##### Introduction to the Tidyverse

DataCamp - David Robinson

##### Intermediate R

DataCamp - Filip Schouwenaars

##### 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

DataCamp - Rick Scavetta

##### building web applications with Shiny in R

DataCamp - Kaelen Medeiros

##### 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

DataCamp