by U-M MICDE | Sep 5, 2023
This workshop will further develop the material covered on spatial databases in the first workshop a few weeks back. PostGIS is the most widely used spatial database and is built on top of PostgreSQL, a powerful open source relational database. The focus of this...
by U-M MICDE | Sep 5, 2023
This is the sixth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS and is self-contained. The focus is on conceptual details that can provide sufficient preparation for...
by U-M MICDE | Jun 15, 2016 | Feature, General Interest, News
Researchers across campus now have access to several new services to help them navigate the new tools and methodologies emerging for data-intensive and computational research. As part of the U-M Data Science Initiative announced in fall 2015, Consulting for...
by U-M MICDE | Feb 2, 2016 | Educational, Events
CSCAR is offering a series of workshops on data science skills using Python. The workshops will be held in the Earl Lewis room in the Rackham building. All workshops will take place on Wednesday afternoons from 3:30-5. No registration is necessary and there is no...
by U-M MICDE | Jun 7, 2015 | Educational, Events
CSCAR is offering an upcoming workshop on Python. Registration is not required. Python Regression Workshop June 11-12 2-4 p.m. each day 4th Floor East Conference Room, Rackham Building The workshop will focus on the use of Python and the Statsmodels library for...
by U-M MICDE | Feb 4, 2015 | Educational, Events
CSCAR will offer a workshop on data management in Python on February 10, 11, and 12 from 4-6 p.m. each day, in the Rackham common room (Rackham Building lower level west). The workshop will focus on using core Python, numpy, and Pandas to manage and process data sets....
by U-M MICDE | Jan 16, 2015 | Educational, Events
The Center for Statistical Consultation and Research is offering several workshops this term, including sessions on SPSS, Applied Survival Analysis, Data Management and Macros with SPSS, SAS, R, Stata, and Regression Analysis. A complete schedule can be found on...