Workshops

Education & Training

The DataLab offers workshops (short seminars, half to full day, or multiple day modules) that complement the material taught in regular courses, provide hands-on applications, and present new topics and under development techniques. Workshop topics depend on the needs of our data science community and available expertise. All members of the UC Davis community (students, postdocs, faculty, staff) are welcome to register. DataLab Affiliates have priority registration.

Workshops are announced here and on our listserv. Subscribe for notices about future workshops.

Suggest a Workshop

Interested in a specific topic? Complete this form or send us an email to suggest a topic for a future workshop.

Workshops

All workshops are held in the DataLab Classroom, room 360 in Shields Library. unless specified otherwise. Materials from previous workshops, including recordings, can be found under “Resources.”

** Click the workshop title for the event page including the full description, necessary prerequisites, and registration instructions.**

Date	Title	Instructor	Resources
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
Feb 22	Geospatial Data Visualization with QGIS	Michele Tobias	slides, code & data, recording
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