Spring 2024

Spring 2024: U of A DataLab workshop sessions 

Watch the U of A DataLab Spring 2024 semester workshop videos below and on the UArizona Data Lab YouTube channel. 

NextGen Geospatial Data Science 

01/16 Geospatial Data APIs 

01/23 Python Data Formats: Raster & Vector 

01/30 Python Visualization Libraries 

02/06 Intro to Cloud Native 

02/13 Cloud Optimized Geotiffs 

02/20 Cloud Optimized Point Clouds 

02/27 Xarray & Zarr 

03/05 Spring Break 

03/12 SpatioTemporal Asset Catalogs 

03/26 Google Earth Engine 

04/02 Microsoft Planetary Computer 

04/09 OpenDrone 

04/16 Containerized Pipelines 

04/23 Planet Satellite Imagery with Austin Stone 

04/30 Drone Imagery Analysis: DeepForest    

Data Science Essentials: From Jupyter to AI Tools 

01/16 Introduction to Jupyter Notebooks 

01/23 Data Wrangling 101: Pandas in Action 

01/30 A Probability & Statistics refresher 

02/06 A Probability & Statistics refresher 

02/13 Data Visualization Libraries: Matplotlib 

02/20 Data Visualization Libraries: Seaborn 

02/27 Exploratory Data Analysis 

03/05 Spring break (No workshop) 

03/12 Time Series Analysis 

03/19 Time Series Forecasting 

03/26 Machine Learning with Scikit-Learn 

04/09 Natural Language Processing 

04/16 Deep Learning 

04/23 Prompt Engineering 

04/30 AI Tools Landscape 

Cracking the Coding Interview 

02/07 Basic Strategies, tips and tricks 

02/13 Memory Model + Recursion.                                                               

02/16 Linked List 1  

02/21 Dynamic Programming 1  

02/23 Dynamic Programming 2 

02/26 Linked list 2 

03/13 Sliding window 

03/15 Stack and queue 1 

03/20 Binary Tree 1 

03/29 Binary Tree 2  

04/03 2 pointers 

04/09 Dynamic Programing Continued 1   

04/17 Dynamic Programming Continued 2 

04/19 Dynamic Programming Continued 3   

Data & Viz Drop-in 

Data Science Tapas: Savor the Tools of Data Mastery 

01/17 Command Line Interface 

01 Shell Command Line Programming 

01/31 Git / Github 

02/07 Intro to ProjMgmt P1 (* Bio5) 

02/14 Intro to ProjMgmt P2 (* Bio5) 

02/21 Intro to ProjMgmt P3 (* Bio5) 

02/28 Intro to Data Management 

03/06 Spring break (No workshop) 

03/13 Intro to CyVerse 

03/20 Markdown/Github Wikis 

03/27 Mkdocs 

04/03 Snakemake 

04/10 Nextflow 

04/17 Github Codespaces 

04 Intro to Docker 

Mastering Machine Learning: Your Path to Data-Driven Research 

01/18 Intro to Scikit-Learn 

01/25 Supervised Learning: Regression 

02/01 Supervised Learning:Classification 

02/08 Unsupervised Learning: Dimensionality Reduction 

02/15 Unsupervised Learning: Clustering 

02/22 Ensemble Learning: Bagging 

02/29 Ensemble Learning: Boosting 

03/07 Spring break (No workshop) 

03/14 Reinforcement Learning 

03/21 Perceptrons 

03/28 Recurrent Neural Networks (RNN) 

04/04 Convolutional Neural Networks (CNN) 

04/11 Autoencoders  

04/18 Generative Adversarial Networks (GAN) 

04/25 LLM 

Introduction to Deep Learning 

01/18 Intro to Deep Learning 

01/25 Deep Learning fundamental architectures 1 

02/01 Deep Learning fundamental architectures 2 

02/08 Intro to Natural Language processing 1 

02/15 Intro to Natural Language processing 2 

02/22 Applications of deep learning 1 

02/29 Applications of deep learning 2 

03/07 Spring break 

03/14 Applications of deep learning 3 

03/21 Quantum AI 

Navigating the World of Data Engineering 

01/29 Building Python based webapps with Streamlit and Gradio 

02/05 Deploying ML models and creating demos with Streamlit and Gradio 

02/12 Introduction to SQL Part-1 (Basic Commands and Joins) 

02/19 Introduction to SQL Part-2 (Functions, Sub-queries and Nested Selects) 

02/26 Introduction to noSQL Part-1 (Types of noSQL Databases and MongoDB basics) 

03/04 Spring Break (No Class) 

03/11 Introduction to noSQL Part-2 (Basics of Cassandra) 

03/18 Introduction to Spark and Hadoop Part-1 (Hadoop Ecosystem and Hive Tutorial) 

03/25 Introduction to Spark and Hadoop Part-2 (Intro to Apache Spark and PySpark)