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# Data Analysis Tutorials

Get insights on the latest tools & methods that you can use to analyze your data more effectively. Our data analysis tutorials will help you develop your skills.
Other topics:

## 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

## 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

## Joining DataFrames in pandas Tutorial

In this tutorial, you’ll learn various ways in which multiple DataFrames could be merged in python using Pandas library.

DataCamp Team

Abid Ali Awan

December 5, 2022

## Analyzing Complexity of Code through Python

Get introduced to Asymptotic Analysis. Learn more about the complexity of the algorithm as well as asymptotic notation, such as Big O, Big θ, and Big Ω notation. Along with the examples of complexity in a different algorithm.

Saneep Khatri

August 21, 2018

## Principal Component Analysis in R Tutorial

In this tutorial, you'll learn how to use R PCA (Principal Component Analysis) to extract data with many variables and create visualizations to display that data.

Zoumana Keita

February 13, 2023

## DBSCAN: A Macroscopic Investigation in Python

Cluster analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, or various other applications.

Sayak Paul

August 3, 2018

## Linear Regression in R Tutorial

In this tutorial, you will learn the basics behind a very popular statistical model; the linear regression.