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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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Python

Latent Semantic Analysis using Python

In this tutorial, you will learn how to discover the hidden topics from given documents using Latent Semantic Analysis in python.
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Avinash Navlani

October 9, 2018

R

Subsetting Datasets in R

Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!
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Tom Jeon

October 8, 2018

R

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.
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Vedabrata Basu

October 5, 2018

Python

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.
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Ryan Sheehy

September 28, 2018

Python

Demystifying Crucial Statistics in Python

Learn about the basic statistics required for Data Science and Machine Learning in Python.
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Sayak Paul

September 27, 2018

R

Factor Levels in R

This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.
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Ryan Sheehy

September 27, 2018

R

Creating a List in R

Practice Lists in R by using course material from DataCamp's Intro to R course.
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Ryan Sheehy

September 27, 2018

Python

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's photo

Avinash Navlani

September 26, 2018

R

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.
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Ryan Sheehy

September 26, 2018

Python

Joining DataFrames in pandas: merge(), concat() & join()

Learn how to join and merge DataFrames in pandas using concat(), merge(), and join() with practical examples.
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DataCamp Team

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Abid Ali Awan

February 5, 2026