Insights

Data is a currency we spend more often than we realize. Understanding how our data is collected and used can help us evaluate the decisions we make with it.

We believe “when one teaches, two learn.” To make that belief a reality for learners, we host an online community with tens of thousands of members.

As you develop your coding skills, you may want to use them to build a complex project. We'll walk you through how to assemble and manage a project team.

Sharing the results of our month-long C++ Community Challenge—an opportunity for C++ Pro learners to team up and build something amazing together.

Python web scraping libraries like Beautiful Soup can automate the collection of website data. Let's try it out by scraping MLB batting stats from ESPN.

Learning web development skills empowered me to help others learn the same. In this article, I describe my career switch and my role as a Codecademy Coach.

What does a product manager do? And why have they become such an important part of the tech world? Allow us to explain.

In hopes of pursuing a career in Public Policy, I’ve spent the past year reorienting my programming towards Data Science. Naturally, doing so required significant practice finding, reading, visualizing and analyzing data.

As a woman in a male-dominated field, I started to feel more confident when I joined communities that connect women in computer science to each other.

We used Python to analyze how wealth, location and collegiate selectivity affect student outcomes and economic mobility.

A data science portfolio is a great way to showcase your skill set in lieu of work experience. This article will provide some tips to help jumpstart yours.

Learning to program tends to center around, well, programming. But developers spend most of their time on tasks that require a different set of skills.

Python is a more flexible and scalable tool for data analysis than spreadsheets. To prove it, we're analyzing the same Pokémon data with both and comparing.

Codecademy recently held our bi-annual internal hackathon. Now, we’re explaining what a hackathon actually is, and why you might want to take part in one.

When I walked into my first coding interview, I assumed I didn't have to understand data structures and algorithms. Oh, how I was wrong.

I used natural language processing and other machine learning techniques to analyze the discography of an artist with an intriguing history: Taylor Swift.

I made a machine learning model that gave me some insights into my favorite reality TV show, Survivor. Now, I'm explaining how I did it, step-by-step.

Artificial neural networks are interconnected groups of nodes, akin to the vast network of neurons in a brain. Let’s explore how they came into existence.

We're providing an in-depth comparison of two of the most popular code editors: Visual Studio and Sublime Text.

Learn what data structures are, why they are useful, and how you can use them effectively.

How the first browser war— and an especially productive 10 days—led to the creation of JavaScript, the most important language in modern web development.

We're taking a look at how educators use Codecademy, which school systems use it the most, and best practices for incorporating it into your curriculum.

My experiences as a computer science student, teacher, and curriculum developer have given me a perspective on CS education that I would love to share.

Learning to code can level up your career, but how (and where) should you learn? Let’s dig into the differences between coding bootcamps and Codecademy.

Data science is one of this century's hottest fields, but breaking in is still a little confusing. This is a step-by-step guide to landing your first gig.