STATS 15
Introduction to Data Science
Description: Lecture, three hours; discussion, one hour; computer laboratory, one hour. Preparation: three years of high school mathematics. Not open to students with credit for course 10, 12, 13, or former course 10H, 11, or 14. Introduction to data science, including data management, data modeling, data visualization, communication of findings, and reproducible work. P/NP or letter grading.
Units: 5.0
Units: 5.0
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Most Helpful Review
Spring 2025 - So far my favorite professor, full of passion for teaching stats. He is mainly a lecturer, so he focuses on teaching rather than research, which I suppose creates a very enjoyable classroom environment and teaching style. He teaches course material in detail but explains concepts clearly and makes use of many examples in his slides so the class stays engaging. Also, he posts all of his lectures after class, super helpful. What I love the most is the opportunity to conduct a group project, he provided us more than enough time so our group was able to compose a very thorough research project.
Spring 2025 - So far my favorite professor, full of passion for teaching stats. He is mainly a lecturer, so he focuses on teaching rather than research, which I suppose creates a very enjoyable classroom environment and teaching style. He teaches course material in detail but explains concepts clearly and makes use of many examples in his slides so the class stays engaging. Also, he posts all of his lectures after class, super helpful. What I love the most is the opportunity to conduct a group project, he provided us more than enough time so our group was able to compose a very thorough research project.
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