Self Paced Courses

Self Paced Courses on edX

Enabling Technologies for Data Science and Analytics: The Internet of Things

Discover the relationship between Big Data and the Internet of Things (IoT).

Machine Learning for Data Science and Analytics

Learn the principles of machine learning and the importance of algorithms.

Statistical Thinking for Data Science and Analytics

Learn how statistics plays a central role in the data science approach.

The Civil War and Reconstruction - 1850 – 1861

Discover how the issue of slavery came to dominate American politics, and how political leaders struggled and failed to resolve the growing crisis in the nation.

Women Have Always Worked: The U.S. Experience 1700 – 1920

Learn how women’s work has changed the home, the workplace, and the nation from the Colonial Period through World War I.

Women Have Always Worked: The U.S. Experience 1920 – 2016

In Part Two of Women Have Always Worked, learn how women’s work has changed the home, the workplace, and the nation in the 20th century through the present.

Self Paced Courses on Canvas Network

Collaborative Knowledge

In this course, you will learn how to collaborate effectively and gain the tools to share knowledge, technology content, and data in a way that will increase the performance and impact of organizations, businesses, and networks.

Five Killer Risks of Enterprise Risk Management

The risks that most organizations overlook share three characteristics: everyone is aware of them, they are politically difficult to discuss, and they are often leading indicators of high-severity risk events. This course will help identify these killer risks, discuss their root causes and attributes, and suggest how to address their mitigation using advanced techniques in enterprise risk management (ERM).

Global Human Capital Trends

This course probes the workforce upheavals that are forcing organizations to respond quickly and refocus to meet modern challenges. Through practical application of specific trends in human capital management, we will examine design thinking for HR, employee engagement, and the personalization of learning.