The Collaboratory@Columbia is pleased to announce a free Data Science Bootcamp for Columbia University PhD students and post-doctoral scholars who are interested in extending their existing mathematical and programming skills to include a training in data science. Designed by faculty and post-doctoral scholars from Columbia University’s Data Science Institute, the curriculum includes on-line learning material, introductory lectures, hands on laboratory experiences and a capstone project.
The Bootcamp will run from January 9–13, 2017 in 524 S.W. Mudd Building (location subject to change). The in classroom meetings will take place from 10am to 4pm each day, with an extra introduction and registration session from 9am to 10am on the first day, January 9, 2017. Two-hours of preparation, via on-line course content, will be required prior to each day’s activities. It is anticipated that about 30 students will be admitted into the Bootcamp.
Please complete the application form to be considered for admission. Applications are due by January 2, 2017. Admission decisions will be made no later than January 4, 2017.
Participation in the bootcamp will yield better outcomes if you already possess the following ‘prerequisites:’
- Basics of linear algebra
- Basics of statistics (mean, variance, etc.)
- Basic programming skills in Python
- Basic understanding of data structures and algorithms
- Basic skills for working with data files (i/o operations on csv, tsv, …)
Sample curriculum could be found here. Questions? Please email Collaboratory-Bootcamp@columbia.edu