In this workshop, learners will learn the basics of how to use R to wrangle data, create visualizations, and conduct exploratory analyses. The workshop will use the popular “tidyverse” suite of packages and will also teach learners the concept of tidy data and how it facilitates analysis. The workshop will include three two-hour sessions with [....]
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 as Pytorch and Keras, will be introduced. Proper coding techniques will be shown through examples and practiced through exercises that will be completed in the [....]
This objective of this course is to impart the fundamental knowledge and practices required to execute a project effectively. The course leverages critical concepts and processes as defined in the Project Management Institute’s Project Management Body of Knowledge Guide, which is an ANSI standard. Practical “best practices” and guides are also incorporated. At the end [....]
Complex data require complex statistical analyses. Data that are large, messy, multi-dimensional, and in unconventional formats often require advanced data science approaches for proper rigorous analysis. This workshop will expand on participants' prior knowledge of basic R programming and statistics to teach advanced analyses, including statistical modeling, empirical statistical analyses, and basic machine learning. In [....]
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 best evidence available? LEARNING OBJECTIVES In this hands-on two-day online workshop, we will take participants through all the steps of conducting a systematic review and [....]
Genomic data are central to basic science research, pharmaceutical drug and vaccine development, disease diagnosis and prediction, ancestry tracing, and forensic investigations. These applications require information fidelity and appropriate availability as bad actors may wish to misuse genomic data to invade privacy, gain an unfair competitive advantage, or inflict harm with devastating impacts on individuals, [....]
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 workshop will include lectures covering QIIME 2 usage and theory, and interactive work with QIIME 2 to perform microbiome analysis from raw sequence data through [....]
In this introductory workshop for beginners, participants will learn how to create, read, transform, and visualize data for scientific analysis. Learners will also gain skills in applying basic computer logic to scientific applications. There are no prerequisites for this course beyond college-level algebra and statistics; however, participants should be comfortable with basic computer functions. This [....]
This introductory-level training course on basics of Bioinformatics will introduce participants to a comprehensive set of bioinformatics concepts, tools and techniques, ultimately facilitating the solution to biological problems. It will provide an overview of several important aspects of bioinformatics such as biological database searching, sequence analysis, protein structure analysis, genome assembly and annotation, building phylogenetic [....]
This workshop builds upon the principles of using R for data science by introducing intermediate concepts that will help learners advance their knowledge and use R for more complex tasks. These tasks include working with APIs and packages to access data on remote servers, iterating tasks over datasets, and writing custom functions.
