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This lecture introduces the fundamentals of data science, emphasizing the importance of handling, visualizing, and analyzing data. The instructor discusses the evolution of data science, the impact of data volume and variety, and the role of a data scientist in today's world. Practical aspects such as project work, grading criteria, and communication channels are also covered. Students are encouraged to engage continuously with the course material and participate actively in discussions and assignments.