RCS is collaborating with other organizations across the university to present Harvard DataFest 2021, a data science boot camp for better research. These four days of virtual workshops and talks will cover key parts of the research data lifecycle, including data management, analysis, and visualization, in order to develop or improve skills in working with data. Registration is free for all Harvard affiliates and is open until January 17th.
This mandatory training for new HBSGrid users will cover both basic and advanced concepts and resources of the cluster. This training is only for those who already have an account,...
On the first Tuesday of the month, RCS presents a live demo. Drop in to watch an RCS staff member demonstrate a technique, share a tip, or work through a problem!
We encourage attendees to stay after the presentation to ask any and all questions related to research computing.
For an overview of the session topic as well as Zoom meeting information, please see our intranet site.
In social science research, we often have panel data (multiple units with repeated observations for each unit). We often wonder which panel data models to use. Most economists prefer fixed effect models; sometimes people...
This mandatory training for new HBSGrid users will cover both basic and advanced concepts and resources of the cluster. This training is only for those who already have an account, and only for...
Please note that this live demo has been rescheduled from our usual time (first Tuesday of the month).
On the first Tuesday of the month, RCS presents a live demo. Drop in to watch an RCS staff member demonstrate a technique, share a tip, or work through a problem!
We encourage attendees to stay after the presentation to ask any and all questions related to research computing.
For an overview of the session topic as well as Zoom meeting information, please see ...
Web scraping is a method of extracting and restructuring information from web pages. This workshop will introduce basic techniques for web scraping using...
