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Test Driven Development

Learn the benefits of software testing and the terminology to explain them.

Estimated 2 hours

Write Good Tests With Mocha

Learn to use the Mocha framework and the Node.js assert library to write, automate, and organize tests in Javascript.

Estimated 1 hour

Learn Test-Driven Development With Mocha

Learners will practice test driven development to create their own JavaScript testing suite using Mocha.js.

Estimated 1 hour

Learn Feature Testing With TDD

Learn feature development for a full-stack web application by writing JavaScript tests that use headless browsing to simulate user interaction.

Estimated 2 hours

Accessibility

Learn Accessible Web Design

This course builds on basic HTML and CSS knowledge. It covers design principles that will make websites accessible to people with color-blindness or vision impairments. It also covers semantic HTML, which improves the readability of HTML code.

Estimated 3 hours

Data Science

Learn: Matplotlib

In this course, you will master a commonly used Python graphing module, Matplotlib! Soon, you will be producing high-quality plots to visualize your data.

Estimated 4 hours

Learn Pandas: Creation and Manipulation

Pandas is a Python module for working with tabular data (i.e., data that comes in a table with rows and columns). It has a lot of the same functionality as SQL or Excel, but combined with all of the power of Python.

Estimated 4 hours

Learn Pandas: Aggregates

In Pandas, aggregate functions let us calculate quantities that describe groups of data.

Estimated 4 hours

Learn Pandas: Working with Multiple Tables

Learn how to combine information from multiple DataFrames.

Estimated 4 hours

Learn: Hypothesis Testing

In this course, you will learn SciPy, a Python module for comparative statistics. By the end of the course, you will know how to perform many different statistical tests in code.

Estimated 5 hours

Learn NumPy: Introduction

Get acquainted with NumPy and learn basic syntax and functionality.

Estimated 2 hours

Learn NumPy: Basic Statistics

Learn how to analyze different statistical distributions using NumPy.

Estimated 2 hours