Data Science Tutorials

Advance your data career with our data science tutorials. We walk you through challenging data science functions and models step-by-step.

Git Setup: The Definitive Guide

In this tutorial, you'll learn how to set up Git on your computer in different operating systems.

Olivia Smith

December 12, 2018

Stocks, Significance Testing & p-Hacking

Learn how to manipulate time series data with pandas and conduct significance testing through simulation using Python, to analyze stock market volatility.

Patrick David

December 11, 2018

Naive Bayes Classification Tutorial using Scikit-learn

Learn how to build and evaluate a Naive Bayes Classifier using Python's Scikit-learn package.

Abid Ali Awan

Avinash Navlani

March 3, 2023

Comparison of BI and Analytics Platforms

In this tutorial, you will learn about different factors that are taken into consideration before choosing your Analytics Platform both at the organization and individual level.

Nishant Singh

November 26, 2018

Overview of Atom IDE

In this tutorial, you'll learn the importance of IDEs, how to set-up Atom, and download packages.

Sejal Jaiswal

November 21, 2018

How to Import Data Into R

Find out how to import data into R, including CSV, JSON, Excel, HTML, databases, SAS, SPSS, Matlab, and other files using the popular R packages.

Abid Ali Awan

December 16, 2024

A Loops in R Tutorial - Usage and Alternatives

A tutorial on loops in R that looks at the constructs available in R for looping. Discover alternatives using R's vectorization feature.

Carlo Fanara

January 30, 2023

Machine Learning in R for beginners

This small tutorial is meant to introduce you to the basics of machine learning in R: it will show you how to use R to work with KNN.

Karlijn Willems

November 20, 2018

Introduction to Monte Carlo Methods

In this tutorial, the reader will learn the Monte Carlo methodology and its applications in data science, like integral approximation, and parameter estimation.