Almost everything we do creates data, and knowing how to investigate and communicate it is key. Our Curriculum Developers show us how to summarize data and run hypothesis tests following our Skill Path: Master Statistics with Python.

Master Stats with Python

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will discuss experimental design and sample size determination in the context of an A/B test in the final session of our live series on stats. Check out the full course here: https://j.mp/3xkPV5x

More details:
In this session, we'll talk about experimental design and sample size determination in the context of an A/B test. A/B testing is often used by marketers to compare two versions of a website or product to determine if one is better for business.

Check out the code used in this session here: https://j.mp/3tMGKso

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

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Jamie will focus on hypothesis tests that can be used to evaluate an association between two variables. Check out the full course here: https://j.mp/3eqhh1r

More details:
In this session, we'll turn our attention to hypothesis tests that can be used to evaluate an association between two variables among a population that we can't observe. If we have time, we'll even simulate our own two-sample t-test.

Check out the code used in this session here: https://j.mp/3tMGKso

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Codecademy Live Stats #7: Hypothesis Testing for an Association

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will discuss problems that can arise when hypothesis testing is misused. Check out the full course here: https://j.mp/3vpTu95

More details:
In this session, we'll discuss some of the problems that can arise when hypothesis testing is misused. We'll cover error types and investigate some of the problems that can arise when a single study involves multiple tests.

Check out the code used in this session here: https://j.mp/3tMGKso


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

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will implement a hypothesis test by writing their own simulation-based function in Python. Check out the full course here: https://j.mp/3tKzmOr

More details:
In this session, we'll implement our first hypothesis test, but we'll do it by writing our own simulation-based function in Python. The code might get a little tricky here, but the lessons learned will be invaluable for any statistician, data scientist, or data analyst.

Link to code used in this session: https://j.mp/3tMGKso


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

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Jamie will introduce inferential statistics and hypothesis testing by exploring the central limit theorem (CLT). Check out the full course here: https://j.mp/3atxPoc

More details:
In this session, we'll introduce inferential statistics and hypothesis testing by learning about the central limit theorem (CLT). The CLT is the mathematical theory behind a number of commonly-used hypothesis tests, and we will demonstrate it using simulation (no math-y formulas)!

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

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Jamie will cover ways to assess a relationship between two variables, using summary statistics and visualizations. Check out the full course here: https://j.mp/3axEhKK

More details:
In this session, we'll cover ways of assessing a relationship between two variables, using both summary statistics and data visualizations. For example, how could we use clinical trial data to get a sense of whether a vaccine appears to work?


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Codecademy Live Stats #3: Associations Between Variables

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will show us how to investigate data using summary statistics and data visualizations. Check out the full course here: https://j.mp/32Ei6ON

More details:
In this session, we'll continue to investigate our data with summary statistics and some basic data visualizations, using the Python libraries NumPy, pandas, matplotlib, and Seaborn. We'll also discuss how to choose an appropriate summary statistic to answer a particular question.

You can download our code for this session here: https://j.mp/3tMGKso


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

Welcome to mastering statistics with Codecademy!
Curriculum Developers Sophie and Alex will walk us through our Master Statistics with Python Skill Path. Check out the full course here: https://j.mp/3dHq6VH

More details:
In this session, we'll walk through the process of loading a tabular dataset into Python, inspecting the data, and taking a first look at some of the variables. We'll also cover basic Python and pandas syntax and discuss some of the different kinds of data you might encounter.

The code used in this video can be found here: https://j.mp/3tMGKso

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

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Welcome to the Community Club & Study Group Events playlist, which are hosted by our incredible Club Captains. This collection features a series of engaging and informative events hosted by our dedicated Club Captains from around the globe. Whether you're interested in Web Development, Python programming, or simply want to connect with tech enthusiasts from different cities, this playlist has something for everyone.

Explore sessions from vibrant cities like Seoul and New York City, where our Club Captains share their expertise and insights on a variety of topics. Each event is designed to help you expand your knowledge, enhance your skills, and connect with a community of like-minded individuals.

Join us as we dive into the world of technology, learn from industry experts, and get inspired by the innovative projects and discussions led by our passionate Club Captains. Don't forget to subscribe and hit the notification bell to stay updated on the latest events and content!

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Join our Chapters for live conversations on various topics — including NFT art and how to break into a technical field.

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We think that connecting with other learners is the best way to learn. Explore some of our past community-led events here!

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Hackathons are a great way to test your knowledge and flex your skills. Check out our hackathon presentations here.

Community: Hackathon

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Creative Coding with p5.js

Strong cybersecurity practices are essential to every organization, be it a school, hospital, or company. These videos review common cybersecurity strategies, as well as common threats and how to identify them.

Cybersecurity

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Data Analytics

Data Science is used in a variety of ways to help businesses make decisions. In these videos we explore data science best practices, considerations for what tools to use, and the basics of machine learning.

Data Science

How data is presented can be as important as how it is collected. These videos explore foundational strategies and best practices to ensure that your data visualizations are meaningful and accurate.

Data Visualization

There are a lot of terms and acronyms in the world of programming. Explore the definitions of common terms used in popular languages and frameworks.

Definitions

DevOps is a series of practices that fosters a culture of collaboration between the Development and Operations team in software development. This playlist explores the benefits of DevOps, and how it is practiced in organizations.

DevOps

An understanding of Github and Git commands is essential for anyone looking to work in a collaborative software development space. These videos explore the features of Git, as well as branching and merging, two of the most important skills for collaborating on Github.

Developer Tools

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HTML & CSS

Preparing for a career in a technical field? Check out these interview tips — including advice on building a portfolio and showcasing your skills.

Interview Prep

Emojicode is a real programming language with a playful emoji syntax in place of traditional programming keywords. Learning it can bring some smiles and fun to your programming journey. Join us for an introduction to this silly language.

Intro to Emojicode

TypeScript builds on your JavaScript foundation so you can develop higher-quality, less error-prone code faster. Learn more about this in-demand language as Codecademy Curriculum Developers guide us through an introduction.

Intro to TypeScript

JavaScript has many functionalities, from web development to gaming applications. We break down the programming language and explain how it works with these tutorials.

JavaScript

From Product Manager to Data Scientist, we take a look at different careers in tech and what these roles entail.

Jobs in Coding

Experience a full day of learning to code with interactive instruction and guided discussions by the Curriculum team at Codecademy.

Learn From Home Day

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See how people around the world are reshaping their lives by learning to code.

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Linear regression is a fundamental machine learning algorithm used for predictive modeling and data analysis. Learn more about it as Codecademy Curriculum Developers guide you through our course: Linear Regression in Python

Linear Regression with Python

Machine learning is one of the fastest expanding fields in tech, with applications in all parts of life. Watch these videos to learn the basics of Machine Learning.

Machine Learning

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Mobile Development

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Whether you’re solving for skill gaps, building a more innovative and resourceful team, or aiming to onboard quickly, Codecademy Teams helps your whole company build the right tech and professional skills to quickly adapt to industry shifts and meet changing business needs.

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Since its release in 1994, Python stands tall as many developers’ favorite programming language. Explore its many capabilities with these livestreams and tutorials.

Python

The R language is a popular tool for Data Analysts. Learn more about this free, open-source programming language with these livestreams.

We asked recruiters in our community to share advice for people navigating the job-hunting process — from tips for optimizing your resume to advice on acing the technical interview.

Recruiter Advice

We show you how to get started on your coding projects — from setting up developer tools to pushing your code to GitHub.

Setting Up

Just starting out on your coding journey? We’ve gathered tips for helping you start — including advice on how to choose your first programming language and how to remember everything you’re learning.

Tips

Our Curriculum Developers will lead you on a journey as you go from complete beginner to proficiency with data visualization, using Python. This is a weekly series that will lead you through our entire Visualize Data with Python Skill Path.

Visualize Data with Python

Web Design includes any skills used to create and maintain a website. These videos explore the foundational web design skills of adding styling to a website with CSS and HTML, as well as best practices in responsive web design.

Web Design

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Master Stats with Python

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