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Data Science Tutorials
Advance your data career with our data science tutorials. We walk you through challenging data science functions and models step-by-step.
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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
Logistic Regression in R Tutorial
Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!
Vidhi Chugh
March 17, 2023
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
Python Pickle Tutorial: Object Serialization
Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!
Natassha Selvaraj
December 13, 2024
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
Object-Oriented Programming in Python (OOP): Tutorial
Tackle the basics of Object-Oriented Programming (OOP) in Python: explore classes, objects, instance methods, attributes and much more!
Théo Vanderheyden
December 19, 2022
K-Means Clustering in R Tutorial
Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science
Eugenia Anello
March 21, 2023
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
Deploy your Facebook Messenger Bot with Python
A step-by-step guide to easily deploying a Facebook Messenger chatbot with Python, using Flask, requests and ngrok.
Alan Nichol
February 28, 2018