03/15/2019
Invest in your quant skills at Columbia University this summer! ISERP is offering three, six-week courses through the Columbia School of Professional Studies (SPS) in high-demand areas of quantitative research.
In addition to current Columbia students, these courses are also open to the public through the SPS post-baccalaureate program. For details on registration and tuition and to begin the post-bac application, visit the SPS website: http://summer.sps.columbia.edu/students
The following courses will be held during the D-Session (May 28th-July 5th, 2019).
DATA ANALYSIS WITH PYTHON
MW 10:10am-12:00pm (3 credits)
This course is meant to provide an introduction to regression and applied statistics for the social sciences, with a strong emphasis on utilizing the Python software language to perform the key tasks in the data analysis workflow.
MACHINE LEARNING SOC SCI
MW 4:00pm-6:10pm (3 credits)
This course will provide a comprehensive overview of machine learning as it is applied in a number of social science domains, including supervised and unsupervised models, like regression trees, boosting, PCA, support vector machines, clustering and more. This course will primarily use Python and scikit-learn.
MODERN DATA STRUCTURES
MW 12:10pm-2:00pm (3 credits)
This course is intended to provide a detailed tour on how to access, clean, “munge” and organize data, both big and small. Writing functions and packages, accessing APIs, and interacting with SQL and cloud-based servers will be covered.
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