SPRING 2021 | | | |
May 28 | Reproducible Research for Teams with GitHub | Tyler Shoemaker | Recording |
May 27 | R Basics: Introduction to Programming for Researchers (part 4 of 4) | Nick Ulle and Pamela Reynolds | Part 4 recording |
May 25 | R Basics: Introduction to Programming for Researchers (part 3 of 4) | Nick Ulle and Pamela Reynolds | Part 3 recording |
May 20 | R Basics: Introduction to Programming for Researchers (part 2 of 4) | Nick Ulle and Pamela Reynolds | Part 2 recording |
May 18 | R Basics: Introduction to Programming for Researchers (part 1 of 4) | Nick Ulle and Pamela Reynolds | Part 1 recording |
WINTER 2021 | | | |
March 4 | ReadME, Write Me! | Pamela Reynolds and Victoria Farrar | Recording, slides |
Feb 24 | Introduction to Version Control with Git | Carl Stahmer, Tyler Shoemaker | Recording |
Feb 18 | Introduction to Basic Statistics in R (Part 2) | Wesley Brooks | Recording |
Feb 12 | Critical Approach to Data Visualization | Emily Merchant & Lindsay Poirier & Pamela Reynolds | Reader |
Feb 12 | Introduction to Text Mining and NLP for Health Data | Wesley Brooks and Arthur Koehl | Reader, Recording |
Feb 11 | Introduction to Basic Statistics in R (Part 1) | Wesley Brooks | Reader, Recording |
Feb 10 | Introduction to Command Line | Tyler Shoemaker | Reader, Recording |
Feb 10 | Discovery and Evaluation of Social Science Data Sources | David Michalski | Subject guide, slides |
Feb 10 | Data “Ownership”: Rights and Responsibilities | Michael Ladisch | Slides |
Feb 9 | Geocoding Personally Identifiable Data | Michele Tobias | Recording |
Feb 8 | Excelling with Excel: Best Practices for Keeping Your Data Tidy | Pamela Reynolds & Victoria Farrar | Reader, Slides, Recording |
Jan 20 | Getting Started With Snakemake for Workflow Automation | Titus Brown | Notes and Recording |
FALL 2020 | | | |
Dec 11 | Introduction to Version Control with Git | Carl Stahmer & Tyler Shoemaker | Repository |
Nov 24 | Mapmaking with R | Ryan Peek | Recording |
Oct 27 | Journal Map Figure Design | Michele Tobias | Recording |
Sept 14 | CA Election 2020 Data Challenge – Virtual Kickoff | Pamela Reynolds | Recording |
SUMMER 2020 | | | |
Aug 20 | Intro to AWS with Jupyter Notebooks | Kevin Murakoshi | Recording, Slides |
Aug 06 | Intro to AWS for Research | Kevin Murakoshi | Recording, Slides |
Jul 17 | Intro to QGIS @ QGIS North America 2020 | Michele Tobias | Repository, Recording |
SPRING 2020 | | | |
WINTER 2020 | | | |
Feb 07 | Making R Code Efficient | Duncan Temple Lang | Repository, Recording |
Feb 20 | Intro to the Unix Shell | Seth Frey | Repository, Recording |
Feb 27, Mar. 05 & 12 | R Fundamentals (3-Part Workshop) | Duncan Temple Lang | |
Mar. 03 | Intro to Python | Drew Fox | Repository, Recording |
Mar. 10 | Participatory Data Mapping with Field Papers | Michele Tobias | Repository |
Fall 2019 | | | |
Nov 13 | Git for Teams | Carl Stahmer | Repository |
Nov 13-15 | Getting to Know SQL (2-Parts) | Michele Tobias | Repository |
Nov 14 | Webscraping with APIs in Python | Seth Frey | Repository, Recording |
Nov 21 | Spatial SQL | Michele Tobias | Repository |
Oct 31 | Introduction to Git for Version Control | Carl Stahmer | Pro Git, Git Cheat Sheet, Recording |
Nov 07 | Introduction to SQL for Querying Databases | Michele Tobias | Repository, Recording |
SPRING 2019 | | | |
May 1 | Introduction to GIS with QGIS | Michele Tobias | recording, slides & repo |
May 17 | Working with C/C++ in R | Duncan Temple Lang | slides, recording |
May 31 | Git Workflows (part 1) | Duncan Temple Lang | slides, recording |
June 7 | Git Workflows (part 2) | Duncan Temple Lang | slides, recording |
WINTER 2019 | | | |
Feb 1 | Data Visualization Principles, Concepts & Best Practices (part 1) | Duncan Temple Lang | slides, recording |
Feb 8 | Data Visualization Principles, Concepts & Best Practices (part 2) | Duncan Temple Lang | slides, recording |
Feb 15 | Graphics in R | Dan Hicks | recording slides, data & code |
March 1 | Interactive, Dynamic Visualization in R and JavaScript | Duncan Temple Lang & Jane Carlen | slides, data & code, recording |
March 8 | Building Apps with R and Shiny | Jane Carlen | code & data, recording |
FALL 2018 | | | |
Oct 12 | InstallFest | DSI staff | |
Oct 19 | Introduction to Git | Carl Stahmer | recording |
Nov 2 | Amazon Web Services for Research | IET | recording |
Nov 30 | Network Analysis in R | Jane Carlen | recording |
SUMMER 2018 | | | |
Sept 10-14 | Beyond Basics in R | Duncan Temple Lang | slides & code, recording part 1, part 2, part 3 |
Sept 14-21 | DataFest | DSI | website, Library link |
Sept 24-25 | Intro to R | Duncan Temple Lang | recording part 1, part 2 |
SPRING 2018 | | | |
April 13, 2018 | Extracting Structure from Text Documents | Duncan Temple Lang | |
April 20, 2018 | Object Oriented Concepts, Flexible Functions, and Software Design in R | Duncan Temple Lang | slides, recording |
April 27, 2018 | A Practical Introduction to Text Mining | Carl Stahmer | data & code |
May 4, 2018 | Using Relational Databases and SQL in R | Duncan Temple Lang | slides, recording |
May 11, 2018 | A Survey of Statistical Machine Learning Concepts, part 1 | Duncan Temple Lang | slides, recording |
May 18, 2018 | A Survey of Statistical Machine Learning Concepts, part 2 | Duncan Temple Lang | slides, recording |
June 1, 2018 | Topic Modeling with Latent Dirichlet Allocation | Carl Stahmer | recording |
WINTER 2018 | | | |
Jan 19, 2018 | Working with and Creating R Packages | Duncan Temple Lang | slides, recording |
Jan 26, 2018 | R Fundamentals, part 1 | Duncan Temple Lang | |
Feb 2 | R Fundamentals, part 2 | Duncan Temple Lang | |
Feb 9 | R Fundamentals, part 3 | Duncan Temple Lang | |
Feb 23 | Projections for Spatial Data in R | Michele Tobias | |
March 2 | Exploratory Data Analysis with Ggplot | Dan Hicks | notes |
March 2 | Becoming a Data Scientist Info Session, Undergrads | DSI | slides |
March 9 | A gentle introduction to Bayesian inference | Matt Espe | slides, recording |
March 13 | Becoming a Data Scientist Info Session, Grads | DSI | slides |
FALL 2017 | | | |
Oct 6 | Install-Fest | Data Science Initiative Affiliates | |
Oct 13 | Web Scraping & APIs | Duncan Temple Lang | |
Oct 20 | Computing on Clusters | Bill Broadley | slides |
Oct 27 | When to use a Database and Which Technology to Use | Carl Stahmer | recording |
Nov 3 | Getting & Working with Bibliometric Data | Dan Hicks | repo, recording |
Nov 17 | Parallel Computing in R | Duncan Temple Lang | slides, recording |
Dec 1 | Reading & Cleaning Complex Data with Regular Expressions | Matt Espe & Duncan Temple Lang | slides, recording |
SUMMER 2017 | | | |
July | R Fundamentals 4-Part Mini-Course, with recording and notes | Duncan Temple Lang | |
SPRING 2017 | | | |
April 14 | Python for Data Analysis 1 | Clark Fitzgerald | |
April 21 | Python for Data Analysis 2 | Nick Ulle | |
April 28 | Efficient Code in R | Duncan Temple Lang | |
May 5 | Lessons from Binary Classification: overfitting and surrogate losses | James Sharpnack | |
May 12 | Lessons from Binary Classification: non-parametric methods and the kernel trick | James Sharpnack | |
May 26 | Docker | Titus Brown | |
June 9 | Data Visualization Principles | Duncan Temple Lang | |
WINTER 2017 | | | |
Jan 27 | Slash and Burn Command Line and Git | Carl Stahmer | |
Feb 3 | Text Mining Fundamentals | Carl Stahmer | |
Feb 10 | Introduction to Bayesian Modeling Using Stan | Matt Espe | |
Feb 17 | Natural Language Processing: Text Normalization and Entity Extraction | Carl Stahmer | |
Feb 24 | Debugging in R | Duncan Temple Lang | |
March 3 | Natural Language Processing: Form and Meaning | Carl Stahmer | |
March 10 | Natural Language Processing: Text Classification | Carl Stahmer | |
FALL 2016 | | | |
Sept 19-20 | Introduction to Data Science Using R | Duncan Temple Lang & Deb Niemeier | |
Sept 30 | Introduction to HPC/Cluster Computing | Bill Broadley | |
Oct 6 | Unix Shell | Titus Brown | materials, recording |
Oct 14 | Getting Started with Software Repositories, GitHub | Bill Broadley | |
Oct 21 | Introduction to SLURM | | |
Oct 28 | Introduction to Makefiles | Duncan Temple Lang | |
Nov 18 | Compiling/Optimizing Code for HPC Resources | | |
SPRING 2016 | | | |
March 7 | Amazon Web Services | | |
April 4 | Advanced Beginning Python | | |
April 6 | Beginner Git | Titus Brown | |
April 8 | Introduction to Google Earth Engine | Nick Clinton | |
April 8 | Ultra-Basic Introduction to Command Line and Git | Carl Stahmer | slides |
April 15 | Introductory Text Mining | Carl Stahmer | |
April 29 | Intermediate Text Mining | Carl Stahmer | |
May 4 | Open Science Framework | Center for Open Science | |
May 27 | Advanced Text Mining | Carl Stahmer | |
June 3 | D3 | Duncan Temple Lang | materials |
2015 | | | |
Jan 13 | Python for Data Analysis | | |
April 4 | Web Scraping and Web Services | Deborah Nolan & Duncan Temple Lang | slides and recordings |
April 25 | Data Visualization | Duncan Temple Lang & Deborah Nolan | recordings |
2014 | | | |
Sept 29 | Accessing Data from Web Pages and Web Services/APIs | | |