Programming for Data Science – Spring 2017 CSC392 Sec 02

CSC392 Section 02Dr. Lutz HamelProgramming for Data ScienceSpring 2017, T&Th 12:30-1:45PM Data science exists at the intersection of computer science, statistics, and machinelearning. That means writing programs to access and manipulate data so that it becomesavailable for analysis using statistical and machine learning techniques is at the core ofdata science. Data scientists use their data and analytical ability to find and interpret richdata sources; manage large amounts of data despite hardware, software, and bandwidthconstraints; merge data sources; ensure consistency of datasets; create visualizations toaid in understanding data; build mathematical models using the data; and present andcommunicate the data insights/findings. This course provides a survey of data science. Topics include data driven programmingin Python; data sets, file formats and meta-data; descriptive statistics, data visualization,and foundations of predictive data modeling and machine…


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