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The Project Implementation course in B.Sc Data Science builds upon the knowledge and skills acquired in previous semesters, focusing on the practical implementation of data science projects. Students will work on real-world projects, applying data science methodologies and techniques to solve complex problems. They will gain hands-on experience in data collection, preprocessing, feature engineering, and model development. Through project management and teamwork, students will learn to effectively plan, execute, and monitor projects. The course emphasizes critical thinking and problem-solving, enabling students to analyze project outcomes and propose recommendations for improvement
Project Dissertation and Implementation – 2
Chapters & topics
i)To enable students to apply the knowledge and skills acquired during the B.Sc Data Science program in the implementation of a data science project.
ii)To provide students with hands-on experience in implementing data science methodologies and techniques to solve real-world problems.
iii)To develop students' project management skills by planning, executing, and monitoring a data science project.
iv)To enhance students' collaboration and teamwork abilities by working in groups to implement a data science project.
v)To foster students' critical thinking and problem-solving skills by addressing challenges and making informed decisions during the project implementation phase
Reference Book
Course Outcome
i)Students will successfully implement a data science project by applying appropriate methodologies, algorithms, and tools
ii)Students will demonstrate proficiency in data collection, preprocessing, feature engineering, and model development during the project implementation phase.
iii)Students will effectively manage project timelines, resources, and deliverables, demonstrating project management skills.
iv)Students will collaborate and work effectively in teams, demonstrating teamwork, communication, and coordination skills during project implementation.
v)Students will critically analyse project outcomes, evaluate the effectiveness of their implemented solution, and propose recommendations for future enhancements.