Data Science Tutorials

Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.

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Data Frames in R

This tutorial takes course material from DataCamp's Introduction to R for Finance course and allows you to practice Data Frames.

Ryan Sheehy

October 15, 2018

Introduction to Cyclical Learning Rates

Learn what cyclical learning rate policy is and how it can improve the training of a neural network.

Sayak Paul

October 15, 2018

Facets for ggplot2 in R

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

DataCamp Team

October 12, 2018

Machine Learning with Black Friday Dataset Tutorial

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

Rohit Peesa

October 11, 2018

Using PostgreSQL in Python

In this tutorial, you will be learning about the database in Python, with a few examples in PostgreSQL Database.

Samip Katwal

October 10, 2018

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

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.

Avinash Navlani

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.