Members of the QIIME 2 team, lead by members of the Caporaso Lab at Northern Arizona University, will teach a five-day online workshop on bioinformatics tools for microbiome science. The [….]
We live in times of evidence-based medicine, where we use the best evidence available to make decisions about patient care and healthcare interventions at population level. But what is the [….]
This workshop will first cover the theory and proper applications of various neural networks (multilayer perceptrons, convolutional neural networks, long-short term memory models, autoencoders, etc.). Powerful deep learning packages, such [….]
This course is designed to allow researchers to quickly dive into R and make visualizations for their own work. No previous experience in R is required. AFTER THIS COURSE YOU [….]
In this “LEARN BY DOING” class, students will enhance their understanding of: 1)What program evaluation is and why it is important 2)Program evaluation framework (e.g., stakeholder participation) 3)Methods for evaluating [….]
This two-day workshop focuses on data analytics and machine learning techniques in MATLAB® using functionality within Statistics and Machine Learning Toolbox™ and Deep Learning Toolbox™. The workshop demonstrates the use [….]
Statistical analyses are regularly required for nearly every quantitative scientific study. Although simple data analysis tools are tenable for small-scale analyses, more rigorous software can enhance analysis replicability, improve data [….]
This course will address the basic principles of epigenetics, the role of epigenetic mechanisms in normal development and human disease, and the development of epigenetically-effective drugs. The objective of the [….]
R is a free, cross-platform – Windows, Mac, and Linux – programming language, designed specifically to facilitate data management, analysis, and visualization. Boasting vibrant development and support communities, R has [….]
WHAT YOU WILL LEARN This course will equip you with an understanding of the tools you need to complete a basic data science project using Python. Students will have the [….]
