Introduction to Databases pt.1
Databases are central tools for organizing research. In addition to storing data, databases allow for data to be quantified in meaningful ways. The process of creating a database can also ...
Find out more »
W21: Image Processing for Microscopy
The analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet, every dataset can be ...
Find out more »Using A.I. Tools Effectively and Ethically for Academic Research
UCLA undergraduate students and other UCLA students, faculty, and staff are invited to register for this hands-on workshop exploring the ethical and practical uses of A.I. text generation tools, led ...
Find out more »Planning for Accessibility in Research Proposals and Practices
In this training you will lean learn about the following topics: • Introduction to DCP and Services for Researchers • Training and Resources for Accessible Research • Accessible Research Tools ...
Find out more »Introduction to Graph Databases
Graph databases are at the frontier of data science, humanities, and AI computing. Built to handle dense, highly interconnected data, graph databases underpin many social networks, big data applications, and ...
Find out more »Introduction to Survival Analysis in R
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates ...
Find out more »EHR Research Data Provisioning
A complete walkthrough of the UCLA EHR Data Provisioning Workflow Cycle. Descriptive talk of the full implementation of the Regulatory Requirements, the Technical Specifications, and the integration of Multiple Data ...
Find out more »W1B: Intro to Unix command line II
This workshop (UNIX Command Line II) continues Workshop W1: UNIX Command Line I and uses the Hoffman2 campus computing cluster. The focus is on features that make dealing with large ...
Find out more »W37: Applications of Large Language Models
This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM), their application in Python for inference, and specific use-cases in Genomics. Experience with ...
Find out more »Big Data on HPC
Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts, this session will focus on using Big Data ...
Find out more »High Performance Python for Data Analytics pt.1
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, ...
Find out more »Introduction to Mediation Models using Mplus,
This workshop will introduce mediation (i.e., causal) models using Mplus. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses. Models with ...
Find out more »High Performance Python for Data Analytics pt.2
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, ...
Find out more »Introduction to Cloud Computing
This workshop provides an overview of cloud computing concepts, including its benefits, services, and deployment models. Participants will learn about the different types of cloud services and explore popular cloud ...
Find out more »Introduction to Linear Regression in R
This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors, interpreting the model ...
Find out more »W5b: RNA-Seq II Analysis
RNA-seq II aims to provide tools for analysis of gene expression data from read counts to biology using R. To facilitate learning, the workshop will use a real case study ...
Find out more »W36: Mergeomics for Multiomics Integration
Mergeomics is a computational tool designed to elucidate the underlying pathways, networks, and key regulators of complex diseases by integrating multi-omics data (genomics, transcriptomics, epigenomics, proteomics, etc). With use of ...
Find out more »Accessible Study Recruitment & Consent Process
Planning for an accessible study recruitment effort. Advertising in accessible digital environments, making PDFs accessible, email outreach that is accessible and mobile app ads that are accessible. Creating a accessible ...
Find out more »Generalized Linear Regression Models in R
This workshop introduces the generalized linear regression model, which extends the linear regression model to accommodate outcomes with different distributions. The workshop briefly reviews linear regression concepts as necessary, and ...
Find out more »NIH Data Sharing Policies – Tips for Participant Protections and Data Security
Policy and how they harmonize with one another. This talk will delve into participant protections describing frameworks to consider when working with participant data, especially from American Indian or Alaskan ...
Find out more »Accessing and Activating Audiovisual Materials for Your Research
Through this workshop attendees will learn how to search, access, and activate audiovisual materials to help with their research. This includes step-by-step processes of searching through UCLA's expansive Special Collections ...
Find out more »