Big Data Fundamentals
This is a University of Adelaide course that is released on the edX platform. The ten-week course is designed to provide greater “understanding of the various applications of big data methods in industry and research.” The course is free to take, with a Verified Certificate of completion available for $150. This course is also part of Adelaide’s Big Data MicroMasters program. The course requires on average eight to ten hours a week of effort. Access to the class begins September 29, 2019.
Demystifying Biomedical Big Data: A User’s Guide
This is a Georgetown University course that is released on the edX platform. The eight-week course is designed to provide greater “understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics.” The course is free to take, with a Verified Certificate of completion available for $49. The course requires on average three to six hours a week of effort. Access to the class begins September 9, 2019.
Delivering a Data Warehouse in the Cloud
This is a Microsoft-created course that is released on the edX platform. The self-paced six-week course is designed to help learners “learn how to deploy, design, and load data using Microsoft’s Azure SQL Data Warehouse.” The course is free to take, with a Verified Certificate of completion available for $99. The course requires on average two to three hours a week of effort. Access to the class begins July 16.
Cybersecurity Fundamentals
This is a Rochester Institute of Technology-created course that is released on the edX platform. The introductory eight-week course is designed to help learners “learn cybersecurity fundamentals, including how to detect threats, protect systems and networks, and anticipate potential cyber attacks.” The course is free to take and is scheduled to begin on August 6, 2019.
Machine Learning for Data Science and Analytics
This is a Columbia University-created course that is released on the edX platform. The self-paced five-week course is designed to help learners “develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics.” The course is free to take.
Health Informatics and Technology in Decision Making
This is a Doane University-created course that is released on the edX platform. The self-paced three-week course is designed to help learners “[g]ain an understanding of how healthcare informatics is deployed in diverse healthcare systems around the world.” The course is free to take, with a Verified Certificate of completion available for $149. (The course is also part of a Healthcare Administration MicroMasters program.) The course requires on average five to ten hours a week of effort.
Introduction to Cybersecurity
This self-paced four-week University of Washington course is designed to help learners “gain an overview of the cybersecurity landscape as well as national (USA) and international perspectives on the field.” The course is free to take and requires on average two to five hours a week of effort.
Smarter Chatbots with Node-RED and Watson AI
This three-week edX course, with instructors from IBM, will teach you “how to use Node-RED to augment the capabilities of your Watson Assistant chatbots by integrating services such as Watson Translate and Text to Speech. You’ll also practice deployment of chatbots to Facebook Messenger.”
Laboratory Information Systems Project Management: A Guidebook for International Implementations
While not a laboratory informatics course in itself, this APHL guidebook certainly contains a full class-worth of material. Developed over several years with funding from the Centers for Disease Control and Prevention (CDC), this guide collects comprehensive information from informaticians and laboratorians in multiple countries in regards to the implementation and project management of laboratory information systems (LIS) in the public health setting.
Introduction to Laboratory Informatics
This is a collection of free online introductory laboratory informatics courses developed by the Centers for Disease Control and Prevention (CDC) and the Association of Public Health Laboratories (APHL). The first two courses follow the journey of a specimen through the laboratory and explores the generation and transmission of data and results within and outside of the laboratory. A third course on laboratory informatics systems is in development. Participants can earn Professional Acknowledgment for Continuing Education® (P.A.C.E.®) credits upon completion.
A Guide for Management: Successfully Applying Laboratory Systems to Your Organization’s Work
This recorded Lab Informatics Tutorial series is designed as a management level view of laboratory systems and is appropriate for anyone planning, reviewing, or approving the acquisition of laboratory informatics. A background in science is not necessary to follow the presented material. Its purpose is to provide you with an understanding of how these technologies (Laboratory Information Management Systems, Electronic Laboratory Notebooks, Scientific Data Management Systems, Laboratory Execution Systems, Instrument Data Systems, and supporting technologies ) can be used to support/improve your labs operations, and the considerations that need to be taken into account before they are purchased.
