Category
Technologies
R Programming Tutorial
In our R tutorials, you'll find helpful tips and use cases to grow your programming skills. We'll keep you up to date with the latest techniques.
Other technologies:
Bivariate Distribution Heatmaps in R
Learn how to visually show the relationship between two features, how they interact with each other, and where data points are concentrated.
Carlos Zelada
July 31, 2018
How to Execute Python/R in SQL
After reading this tutorial, you'll know how to embed R & Python scripts in T-SQL statements & know what data types are used to pass data between SQL & Python/R.
Kyle Weller
July 30, 2018
Hierarchical Clustering in R
Clustering is the most common form of unsupervised learning, a type of machine learning algorithm used to draw inferences from unlabeled data.
DataCamp Team
July 24, 2018
Continuous Deployment of Package Documentation with pkgdown and Travis CI
Follow these simple steps to enable continuous deployment of your package documentation.
Filip Schouwenaars
July 9, 2018
Setup a Data Science Environment on your Computer
Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.
DataCamp Team
June 27, 2018
How to Install and Use Homebrew
Discover Homebrew for data science: learn how you can use this package manager to install, update, and remove technologies such as Apache Spark and Graphviz.
DataCamp Team
May 23, 2018
Long to Wide Data in R
Learn why you would transform your data from a long to a wide format and vice versa and explore how to do this in R with melt() and dcast()!
DataCamp Team
May 8, 2018
GFLASSO: Graph-Guided Fused LASSO in R
Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
Francisco Lima
April 26, 2018
Network Analysis in R: Centrality Measures
Explore the definition of centrality, learn what different types of centrality measures exist in network analysis and pick the best one for a given network!
Minoo Ashtiani
April 17, 2018
Getting Started with the Tidyverse: Tutorial
Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!
Hugo Bowne-Anderson
April 10, 2018
Tidy Sentiment Analysis in R
Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!
Debbie Liske
March 29, 2018
Feature Selection in R with the Boruta R Package
Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
DataCamp Team
March 7, 2018