Tutoriale de Data Science

This tutorial takes course material from DataCamp's Introduction to R course and allows you to practice data frames.

In this tutorial, you'll learn how to make the most of ggplots facetting functions.

In this tutorial, you will gain knowledge on filling null values, preprocessing data, reducing dimensionality using PCA, and split data using K-Fold.

Discover how to create, connect to and manage PostgreSQL databases using Python’s psycopg2 package.

In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.

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

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

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.

This tutorial takes course material from DataCamp's Cleaning Data in Python course and allows you to clean strings using regular expressions.

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

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

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