Our team regularly hosts special events, livestreams, and tutorials. Not finding the event you're looking for? Check out our Chapters for peer-led Meetups hosted by learners like you.

## Upcoming Events

Tue Jun 22
3:00 PM UTC

### Linear Regression in Python: Data transformations

Learn about common data transformations for linear regression models.

Wed Jun 23
7:00 PM UTC

### Codecademy Community Live: Conversation with Software Engineer Jenesh Napit

Codecademy Community Live is a series of conversations about careers in tech, learning online, and the Codecademy community.

Thu Jun 24
8:00 PM UTC

Codecademy Community Project Showcase is the perfect time to show your work and get peer feedback

Tue Jun 29
3:00 PM UTC

### Linear Regression in Python: Comparing and choosing a linear regression model

Learn how to compare and choose between candidate linear models.

Fri Jul 9
8:00 PM UTC

Codecademy Community Project Showcase is the perfect time to show your work and get peer feedback

Tue Jul 13
3:00 PM UTC

### Linear Regression in Python: Linear regression workflow

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

Fri Jul 23
8:00 PM UTC

Codecademy Community Project Showcase is the perfect time to show your work and get peer feedback

## Event Archives

Browse our selection of past events to catch anything you may have missed

### World Emoji Day Celebration!

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

### CS101 #1: Syntax and Variables

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

### CS101 #2: Functions

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

### CS101 #3: Control Flow

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

### CS101 #4: Lists

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

### CS101 #5: Loops

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

### CS101 #6: Strings

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

### CS101 #7: Dictionaries

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

### CS101 #8: Classes

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

### Codecademy Live: Election Forecasting and Probability With R

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

### Codecademy Live: Augmented Reality for the Hour of Code

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

### Codecademy Live Stats #1: Summary Statistics and Visualizations Part I

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

### Codecademy Live Stats #2: Summary Statistics and Visualizations Part II

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

### Codecademy Live Stats #3: Associations between Variables

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

### Codecademy Live Stats #4: Introduction to Hypothesis Testing and the Central Limit Theorem

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

### Codecademy Live Stats #5: Hypothesis Testing - Simulating a Binomial Test

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

### Codecademy Live Stats #6: Hypothesis Testing - Significance Thresholds and Multiple Hypothesis Tests

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

### Codecademy Live Stats #7: Hypothesis Testing for an Association

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

### Codecademy Live Stats #8: Planning and Implementing an A/B test

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

### Creative Coding with Codecademy #1: Intro to p5.js

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

### Creative Coding with Codecademy #2: Creating Bouncing Balls

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

### Creative Coding with Codecademy #3: Exploring the p5 Web Editor with Cassie Tarakajian

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

### Creative Coding with Codecademy #4: Generative Art Creator

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

### Creative Coding with Codecademy #5: Interactive Video Sculpture

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

### Creative Coding with Codecademy #6: Object-Oriented Programming

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

### Creative Coding with Codecademy #7: Machine Learning Visualized

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

### Creative Coding with Codecademy #8: Audio Visualizations with p5.sound.js

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

### Linear Regression in Python: Introduction to Simple Linear Regression

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

### Linear Regression in Python: Categorical predictors

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

### Linear Regression in Python: Introduction to multiple linear regression

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

### Codecademy Women in Tech: Creating your own path in the tech industry

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

### Linear Regression in Python: The matrix representation of the linear regression problem

Learn about some of the math behind linear regression models.

### Linear Regression in Python: Interactions and polynomial terms

Learn about interactions and polynomial terms in linear regression model.