CSCI 2000U Scientific Data Analysis
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This CSCI 2000U Scientific Data Analysis course is an overview to the tools and programming environments for data analysis. Scholars will gain information and knowledge in being occupied with scientific data in numerous stages of the info analytics pipeline. The principal goal of this course is to create computational skills required for analysing scientific data during a sort of data formats, as an example, CSV, text, binary, sound, and image. Topics include: automation of knowledge analysis tasks using command-line user interfaces; managing code and data employing a version control system; modular programming for scientific data analysis; debugging and testing scientific software; and plotting data.
Learning outcomes:
1. Construct scripts or agendas to mechanizerecurrent tasks (possibly integrating data from multiple sources).
2. Manipulate data from files (for instance, load, aggregate, visualize, etc.) with modular programs, i.e., using functions or suitable subprograms.
3. Employ techniques to verify correctness and to catch errors/exceptions in programs/subprograms designed for a knowledge analysis workflow.
4. Construct a version control repository and use it to manage a project relating a order of manuals and files.
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