Temple University 3 credits CIS
This course provides students an experience in the design and implementation of an end-to-end pipeline for a challenging real-world data science project. Students will work in teams of 4-6 to identify a practical problem scenario, apply knowledge synthesized from previous courses to design a solution, and learn new skills and techniques in the process of implementing the proposed solution. Lecture times will be used to discuss components of a data science project life cycle, to consider common issues in data science projects, to deliberate over business case studies, to brainstorm ideas for addressing stumbling blocks in team projects, and to seek and share feedback on project decisions and progress. Lab times will be used to develop project design, code, and documentation. Students will receive project feedback from the instructor as well as from student peer groups which will be used for iterative development and improvement. Upon completion of the course, students are expected to have gained essential professional and technical skills to enter the work force as a data science professional.
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