Codecademy

Events

As technology has evolved, so have we. Join us for a 3-part journey through Codecademy’s evolution, from our very first course to our latest AI offerings. In part 3, we’ll take you through our brand new Intro to Generative AI course.

As technology has evolved, so have we. Join us for a 3-part journey through Codecademy’s evolution, from our very first course to our latest AI offerings. In part 2, we’ll take you through a project from the new Learn Python for Data Science skill path, which includes the first Codecademy courses to use Jupyter Notebook. You’ll get the chance to work along and ask questions.

As technology has evolved, so have we. Join us for a 3-part journey through Codecademy’s evolution, from our very first course to our latest AI offerings. In part 1, we’ll walk you through a conditionals project from our first-ever course, Learn JavaScript.

Learn how to use Codecademy Docs with Senior Curriculum Developer Sonny Li

Learn about Codecademy Docs with Senior Curriculum Developer Sonny Li - Part 1

Live tutorial on how to use code challenges to prepare for the job you want.

Live tutorial on how to use workspace to prepare for the job you want.

Community Chapter Events. This time, an AMA with 2 Chapter Leaders

In our final session, Curriculum Developers Ben and Galina finish building their iOS application.

In our third session, Curriculum Developers Ben and Galina continue to walk us through how to use Xcode to build an iOS application.

Curriculum Developers Ben and Galina continue to walk us through how to use Xcode to build an iOS application.

A Q&A with Harmeet, a technical recruiter at Codecademy, about prepping for interviews as a developer.

In our first session, Curriculum Developers Ben and Galina will start to walk us through how to get started with Xcode and SwiftUI.

Walk through an entire workflow including data processing, model fitting and comparison, interpretation, and prediction.

Learn how to compare and choose between candidate linear models.

Learn about common data transformations for linear regression models.

Learn about interactions and polynomial terms in linear regression model.

Learn about some of the math behind linear regression models.

Wonder what working in tech really looks like for women? Hear from our panel of insiders.

Learn about multiple linear regression and how to implement it in Python

Learn how to include categorical predictors in a linear regression model.

Learn about simple linear regression and how to implement it in Python.

Learn how to add audio to your p5.js sketches using the p5.audio.js library!

Learn how to create a visualization of the popular K-Nearest Neighbor algorithm using p5

In this session we’ll learn how to use object oriented programming with p5!

Learn to add videos to your p5 sketch in this project inspired by Nam Jun Paik.

Learn to make some interactive artwork inspired by John Whitney and Vera Molnar.

Cassie Tarakajian joins us to talk all things p5.js, Processing Foundation, and creative coding.

Let’s learn how to animate our p5 sketches. In this session, we’ll learn how to make balls bounce across the screen.

In our first creative coding session we’ll introduce you to p5.js and make our first project!

In this session, we’ll talk about experimental design and sample size determination in the context of an A/B test.

In this session, we’ll turn our attention to hypothesis tests that can be used to evaluate an association between two variables.

In this session, we’ll discuss some of the problems that can arise when hypothesis testing is misused.

In this session, we’ll implement a hypothesis test, but we’ll do it by writing our own simulation-based function in Python.

In this session, we’ll introduce inferential statistics and hypothesis testing by learning about the central limit theorem (CLT).

In this session, we’ll cover ways of assessing a relationship between two variables, using summary statistics and visualizations.

In this session, we’ll continue to investigate our data using summary statistics and data visualizations.

In our first session, learn to load a dataset into Python, inspect the data, and take a first look at some of the variables.

Join curriculum developers Zoe Bachman and Alex Kuntz as they walk you through how to make your first augmented reality experience

Join us as we look at election data from FiveThirtyEight and investigate what it means to forecast an election.

In our last session, use all of your Python experience to create your own data structures using Classes and Objects.

Learn how to structure your data in a new way using Dictionaries in Python

Let’s learn how to use our words by working with Strings in Python.

Let’s start to build some more complicated programs as we learn how to use loops in Python!

Storing one value isn’t enough! Learn how to store multiple values in a single variable using Lists in Python.

Learn how to control the flow of your code using structures like conditionals in Python!

In this second session we’ll explore how to write functions in Python!

Join us for the start of our Back To School series where we write our first program in Python!

Sonny Li is joined by Emojicode creator Theo B. Weidmann for a demo and Q&A.