New! Spring 2020 Online Reproducible Research Workshops! Click here for link to Reproducible Research Workshops http://dartgo.org/RRADworkshops to register. On-demand sessions will be linked at http://dartgo.org/RRADondemand
October Workshops
October Workshops, visit https://rc.dartmouth.edu/index.php/training/ to view and register Intro to High-Performance Computing (HPC), Tuesday, October 8th Intro to Geographic Information Systems (GIS), Tuesday, Oct 15th Intro to Data Analysis with Python, Thursday, Oct 17th Intro to Neural Networks, Tuesday, Oct
Upcoming Workshops
Upcoming Workshops, visit https://rc.dartmouth.edu/index.php/training/ to view and register Tuesday, Sept 24, 2:30-5:00 Intro to HPC (DHMC) Tuesday, Oct 1, 2:30-5:00 Intro to RC Systems (Campus/37 DFR) Thursday, Oct 8, 2:30-5:00 Intro to HPC (Campus/ 37 DFR)
Research Data Storage on Campus @LSC – DartFS – Coffee and Donuts
Researchers at Dartmouth College can receive 50GB of free, reliable, high-speed network file storage to researchers at Dartmouth through DartFS. DartFS is a network-based storage service for documents and files. Your data can be shared among collaborators, accessed anywhere on
ESRI GIS downloads page updated
ArcGIS 10.6 added to the software downloads page visit https://caligari.dartmouth.edu/downloads/esri/ for details
Slides from Introduction To GIS workshop
Workshop: Introduction to Geographic Information Systems (GIS) Slides from the workshop, introducing GIS concepts, software, tools and supporting links to more information. Click to view slides.
Programming with Python, Part 2, Basic Data Analysis – slidedeck
Slidedeck from our recent workshop, “Programming with Python, Part 2, Basic Data Analysis” Date:4/19/2018, 2:00pm – 4:30pm Location:37 Dewey Field Rd, Instructional Center (1st floor) Hands-on Training: Programming with Python, Part 2 We recommend attending “Programming with Python, Part 1”
Slides from our recent workshop, Using R for Basic Spatial Analysis
Slides from our recent workshop, titled “Using R for Basic Spatial Analysis” Course description: A variety of packages are available to view and analyze spatial data in the R environment. Come to our workshop on Wednesday, February 14th from 2pm
Slides from Programming with R, Part 1
Programming with R, Part 1 Slides from our recent workshop, and RStudio’s ‘quick list of useful R packages’ to extend R’s programming capabilities and to connect to databases using SQL, wrangle and visualize data, generate web apps, work with GIS
Upcoming Workshops and Training
Upcoming Workshops and Training: Python, Matlab, R, Database Design, GIS! See more details here: http://rc.dartmouth.edu/index.php/training/