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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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Bootstrap in R Tutorial
In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.
Łukasz Deryło
October 9, 2018
Subsetting Datasets in R
Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!
Tom Jeon
October 8, 2018
Contingency Analysis using R
In this tutorial, you'll learn with the help of an example how "Contingency Analysis" or "Chi-square test of independence" works and also how efficiently we can perform it using R.
Vedabrata Basu
October 5, 2018
Using Regular Expressions to Clean Strings
This tutorial takes course material from DataCamp's Cleaning Data in Python course and allows you to clean strings using regular expressions.
Ryan Sheehy
September 28, 2018
Demystifying Crucial Statistics in Python
Learn about the basic statistics required for Data Science and Machine Learning in Python.
Sayak Paul
September 27, 2018
Factor Levels in R
This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.
Ryan Sheehy
September 27, 2018
Creating a List in R
Practice Lists in R by using course material from DataCamp's Intro to R course.
Ryan Sheehy
September 27, 2018
Introduction to Customer Segmentation in Python
In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python.
Avinash Navlani
September 26, 2018
For Loops in R
When you know how many times you want to repeat an action, a for loop is a good option. Master for loops with this tutorial.
Ryan Sheehy
September 26, 2018
Data Visualization with Tableau
In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions.
Parul Pandey
September 24, 2018
Joining DataFrames in pandas: merge(), concat() & join()
Learn how to join and merge DataFrames in pandas using concat(), merge(), and join() with practical examples.
DataCamp Team
Abid Ali Awan
February 5, 2026
Lists: N-Sized Chunks
In this tutorial, you shall work with lists and learn an efficient way to divide arbitrarily sized lists into chunks of a given size.
Sejal Jaiswal
September 12, 2018