Current Course

Data Scientist Training for Librarians (DST4L) is an experimental course being offered by the Harvard-Smithsonian Center for Astrophysics John G. Wolbach Library and the Harvard Library to train librarians to respond to the growing data needs of their communities. Data science techniques are becoming increasingly important to all fields of scholarship. In this hands-on course, librarians learn the latest tools for extracting, wrangling, storing, analyzing, and visualizing data. By experiencing the research data lifecycle themselves, librarians develop the data savvy skills that can help transform the services they offer.

The DST4L course is free and open to beginners. Registration opens on August 15th and closes on August 22nd. A maximum of 40 participants will be accepted into the program and it is open to librarians outside of Harvard University. A tentative course outline can be found below. Please review the schedule to see if you can commit to the program first before registering. If you cannot attend the course, material will be made available via the DST4L website as it progresses. The course will not be live streamed or recorded. You must be physically present for the course.

Registration is now closed!

 

Provisional Course Outline

September 22 (9am – 5pm) – 23 (10am – 3pm)
Seth van Hooland, Ruben Verborgh, Tom Morris
Free Your Metadata: Linked Data, metadata quality, cleaning, reconciliation, enrichment, named-entity extraction using OpenRefine.
Location: Phillips Auditorium, 60 Garden St, Cambridge, MA (More Information) (Day 1) Lamont Library, Harvard Yard, Harvard University, Cambridge, MA (More Information) (Day 2)

October 18 (9am – 5pm)
Kyle Daigle
GitHub Foundations: Concepts, creation, web flow, local repository, synchronization, branches, merges, collaboration, project management and features.
Location: Phillips Auditorium, 60 Garden St, Cambridge, MA (More Information)

October 21 – November 8 (choose a session below)
Rahul Dave
Introduction to data extraction, wrangling, data analysis and visualization with Python.

Session 1: October 21 – 25

* Includes tutoring session

Session 2: November 4 – 8

* Includes tutoring session

February 5 (9-1pm)
Tara Walker / Tableau
Interactive Visualizations: Finding and Telling Stories with Data using Tableau
February 5th 9-1pm @ Cumnock 103 (Google map | Harvard map | More Information)

Guest Speakers/Instructors
Lynn Cherny
GhostWeather
December 1, 4-6pm @ Phillips Auditorium, 60 Garden St, Cambridge, MA (More Information

James Davenport
IfWeAssume
February 6, 10-4pm @ Cumnock 103 (Google map | Harvard map | More Information)

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