Data Science Tutorials

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

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

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.

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.

In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python.

In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions.

In this tutorial, you will learn how to use a very unique library in python, TPOT. The reason why this library is unique is that it automates the entire Machine Learning pipeline and provides you with the best performing machine learning model.

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

Learn to visualize high-dimensional data in a low-dimensional space using a nonlinear dimensionality reduction technique.

In this tutorial, you shall work with lists and learn an efficient way to divide arbitrarily sized lists into chunks of a given size.

In this tutorial, you'll learn about Tensors, PyTorch, and how to create a simple neural network with PyTorch.