Tutoriales de Ciencia de Datos
Desarrolla tus habilidades en ciencia de datos con tutoriales en nuestro blog. Cubrimos todo, desde visualizaciones de datos complejas en Tableau hasta funciones de control de versiones en Git.
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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
9 de octubre de 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
8 de octubre de 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
5 de octubre de 2018
Diving Deep with Imbalanced Data
Learn the techniques to deal with an imbalanced dataset.
Sayak Paul
4 de octubre de 2018
Social Network Analysis in Python
Networks today are part of our everyday life. Let's learn how to visualize and understand a social network in Python using Networks.
Amita Kapoor
2 de octubre de 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
28 de septiembre de 2018
Demystifying Crucial Statistics in Python
Learn about the basic statistics required for Data Science and Machine Learning in Python.
Sayak Paul
27 de septiembre de 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
27 de septiembre de 2018
Creating a List in R
Practice Lists in R by using course material from DataCamp's Intro to R course.
Ryan Sheehy
27 de septiembre de 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
26 de septiembre de 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
26 de septiembre de 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
24 de septiembre de 2018