Spring Training Classes

March 28, 2017

In partnership with the IQSS Data Science Services group, we're happy to announce the first set of training classes for the Spring term. 

Hands-on: These workshops will be held from 9:30 am - 12:30 pm at IQSS - CGIS Knafel Building, Room K018, and are free for HBS researchers, with priority given to faculty:

2/10:   Introduction to R
2/17:   R graphics with ggplot2
2/24:   Regression models in R
3/3:     R Programming
 
3/10:   Introduction & Data Management in Stata
3/24:   Regression & Graphing in Stata
 
3/31:   Managing Versions of your Scripts & Data with git
4/7:     Introduction to the Unix Shell


Two-part Hands-on: For those with schedule constraints, we will also be offering Introductory R training sessions in a two-part Evening Class Series from 6:00 pm - 8:00 pm at HBS (location TBD). These sessions will be open to all Harvard University affiliates:

4/19:    Introduction to R, Part I
4/26:    Introduction to R, Part II 


Lunchtime Series: We are also excited to announce our fun and applicable Research Computing Brown Bag Series at HBS (location TBD) from 12 pm - 1 pm. We welcome both new learners and experienced learners who would like a refresher. Topics will include:

3/7:      Amping Up Your Research with the (Compute) Grid
            Learn to work smarter, not harder, with a better understanding of grid resources. Attendance may lead to fewer sighs and more smiles!

3/29:    Just Enough Unix (for the Compute Grid)
            Learn practical tips for navigating our local compute cluster, and working more efficiently as well.

4/12:    A Gentle Introduction to Databases
            Learn helpful information to embark on creating and using databases for work and analyses. It's gentle - we promise! 
            

For more information, or to register for all of the sessions listed above, please see our training website at http://training.rcs.hbs.org.
 
We will be adding more workshops and brief, focused seminars to highlight new approaches to working efficiently and building good data management and research skills. Stay tuned!