Coursera

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

Develop Powerful Interactive Software. Advance your software development knowledge in four comprehensive courses.

This course aims to help you to ask better statistical questions when performing empirical research. We will discuss how to design informative studies, both when your predictions are correct, as when your predictions are wrong. We will question norms, and reflect on how we can improve research practices to ask more interesting questions.

The demand placed on today’s engineers goes above and beyond the job description. Products have become complex and engineers are more frequently asked to leave specialized roles and to take on a wide variety of tasks that are beyond their traditional responsibilities. These tasks are centered on form, fit, and function.

EMT Medical and Trauma Emergency Care. Gain the skills needed to provide first responder emergency medical care.

Journey to the Frontier of Computational Biology. Master bioinformatics software and computational approaches in modern biology.

Promoting Healthy Practices in School. Learn to manage medical conditions & mental health services, facilitate healthy practices in schools.

Kickstart your career in application development. Master Cloud Native and Full Stack Development using hands-on projects involving HTML, JavaScript, Node.js, Python, Django, Containers, Microservices and more. No prior experience required.

Build Statistical Skills for Biological Sciences. Master the tools and methods you need to analyze, interpret, and communicate biostatistical data.