(Image credit: Veronika Hradilová. Unsplash.com)
Applied Data Science Tapas knowledge capsules provide comprehensive educational content spanning multiple domains: from foundational data science principles and methodologies, through advanced machine learning techniques and algorithms, to cutting-edge Deep Learning applications in Artificial Intelligence. These capsules are designed to bridge theoretical concepts with practical implementations, offering insights into both established practices and emerging trends in the field of computational data analysis.
- Registration to attend in person or online.
- When: Virtual every other Wednesday @ 1PM
- Zoom link: https://arizona.zoom.us/j/89667081542
| Date | Title | Description | Instructor | Materials | YouTube |
|---|---|---|---|---|---|
| 05-Feb-2025 | Introduction to Python for Data Science | Python stands as a leading programming language in data science, known for its powerful capabilities in mathematics, statistics, machine learning, data visualization, and scientific computing. | Carlos Lizárraga | Notes | video |
| 19-Feb-2025 | Introduction to Machine Learning Algorithms | Classical machine learning methods developed before the rise of deep learning include decision trees, support vector machines, and linear regression. These algorithms work best with structured data and need manual feature engineering. | Carlos Lizárraga | Notes | video |
| 05-Mar-2025 | Introduction to Visualization: Theory and Practice | Visualization combines art and science to help understand complex information. It requires both theoretical knowledge of how people perceive visual elements like colors and shapes, and practical skills in using tools to create charts and graphs. Like artists, data visualizers tell stories through visual representations. | Devin Bayly | Notes | video |
| 19-Mar-2025 | Introduction to Deep Learning for Healthcare | Advanced AI techniques like deep learning and sequence modeling play a transformative role in improving healthcare diagnostics and patient care. Understanding the ethical implications of AI in healthcare is crucial as we work to ensure responsible usage of these increasingly integrated technologies. | Greg Chism | Notes | video |
| 02-Apr-2025 | Introduction to Speech to text with Whisper AI | Whisper AI is a speech recognition technology that converts spoken language into written text. It's an example of AI technology that can transcribe audio content into readable text format. | Megh Krishnaswamy | Notes | video |
| 16-Apr-2025 | Introduction to Python Accelerated Data Science with RAPIDS | RAPIDS is a suite of software tools that accelerates data science workflows. Built to integrate with Python, it harnesses the parallel processing power of graphics processing units (GPUs). Like having thousands of tiny processors working simultaneously, GPUs enable much faster data processing. RAPIDS essentially acts as a turbocharger for data science projects. | Devin Bayly | Notes | video |
| Date | Title | Instructor | Materials | YouTube |
|---|---|---|---|---|
| 01-17-2024 | Command Line Interface | Carlos Lizárraga | Notes | video |
| 01-24-2024 | UNIX Shell Command Line Programming | Carlos Lizárraga | Notes | |
| 01-31-2024 | Git/Github | Michele Cosi | Notes | video |
| 03-27-2024 | Introduction to Markdown | Michele Cosi | Notes | video |
| 05-31-2024 | University of Arizona High Performance Computing | Michele Cosi | Notes |
| Date | Title | Instructor | Materials |
|---|---|---|---|
| 02-Feb-2023 | Network Visualization in R | Greg Chism | Notes / Recording |
| 09-Feb-2023 | Outliers Analysis and Anomalies Detection | Carlos Lizárraga | Notes / Jupyter Notebook Example |
| 16-Feb-2023 | REDCap to R Markdown, reproducibly | Heidi Steiner | Slides / Materials / Recording |
| 23-Feb-2023 | Simulating Data for Study Design in R | Greg Chism | Notes / Recording |
| 02-Mar-2023 | Statistical power analysis in R | Greg Chism | Notes / Recording |
| 16-Mar-2023 | GWAS in Hail | Heidi Steiner | Slides / Materials |
| 23-Mar-2023 | Low-code Exploratory Data Analysis | Carlos Lizárraga | Notes / Jupyter Notebook Example |
| 30-Mar-2023 | Low-code Time Series Analysis | Carlos Lizárraga | Notes / Jupyter Notebook Example |
| 06-Apr-2023 | Metagenomics with phyloseq in R | Heidi Steiner | Notes |
| 13-Apr-2023 | K-means clustering with tidy data principles | Greg Chism | Notes |
| 20-Apr-2023 | Low-code Machine Learning Platforms | Carlos Lizárraga | Notes / Jupyter Notebook |
| 27-Apr-2023 | Designing Quarto slides | Heidi Steiner |
Created: 01/10/2025 (C. Lizárraga)
Updated: 01/20/2025 (C. Lizárraga)
DataLab, Data Science Institute, University of Arizona.
