UCLA Office of Advanced Research Computing (OARC)

Introduction to Survival Analysis in R

Introduction to Data Science with Python Part 2

What is Causal Inference, and Where is Data Science Going?

R Markdown Basics

Getting Started With GIS and Spatial Research: Census data analysis with Python

Learning Scikit-Learn

Introduction to Data Visualization

ECR OpenScience workshop March 24, 2022 - part 1

Numerical Computing with Python Part 2: Intro to Numpy, Scipy, and Pandas

Census Data Analysis and Mapping with Python

Interacting Dynamical System Modeling for Science: Construction and Generalization

Data Visualization with Python II: Making Interactive Plots and Widgets

Introduction to Remote Sensing with Python

How to access SAS OnDemand?

Intro to Julia: A fast dynamic language for statistical computing and data science

Introduction to Spatial Statistics with Python

Numerical Computing with Python Part 3: Numerical Modeling

TimeAutoDiff : Combining auto-encoder and diffusion model for time series tabular synthesizing

Introduction to Data Science with Python Part 1

Understanding scientific fields via network analysis and topic modeling.

Advanced graphics with Matlab (Part I)

Advanced graphics with Matlab (Part II)

Confirmatory Factor Analysis in R with lavaan

Forecasting and Interpolation for Learning Physical Simulation over Meshes

Digital Humanities and HPC

High Performance Machine Learning Using Scikit-Learn

Data-driven prediction of vortex dynamics with hierarchical graph neural networks

Unsupervised Discovery of Ancestry Informative Markers and Genetic Admixture Proportions

Comprehensive Lexical Resource for English Using Bayesian Deep Learning and Missing Data Methodology

Survey Data Analysis in Stata 17

Learning PyTorch

Version Control With Git, UCLA IDRE, July 14 2020

Introduction to Stata

Introduction to sas

Data Visualization with Python I: Plotting Fundamentals

Introduction to Meta-analysis using Stata

How Can One Use Machine Learning and High Performance Computing for Humanities Research?

Learning Scikit-Learn

Mitigating climate change drivers and associated risks of surpassing lower emission targets

Panel Discussion on Harnessing High-performance Computing across STEM Disciplines

Computational approaches in clinical epigenomics

Contextualizing Collections: Intro to Immersive Annotated 360 Virtual Tours with Adobe Captivate

Introduction to Network Analysis Methodologies and Tools

Using Topological Data Analysis to characterize fluctuations in brain activity patterns

Epidemic Model Guided Machine Learning for COVID-19 Forecasts

Annotate Digital Imagery: Theory, Applied Practice, and Tools for Research