数据科学实践
（胡延庆）STA3222023春2023春
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| 选课类别：专业任务 | 教学语言：双语 |
| 课程类别：专业核心课 | 开课单位：统计与数据科学系 |
| 课程层次：本科 | 获得学分：2.0 |
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课程简介（教工部数据）
STA322. 数据科学实践理论含实验，2学分，3学时/每周。先修课程，MA204 数理统计，STA321 分布式存储与并行计算。本课程探讨应用数据科学的设计、制定和执行的概念和技术。涵盖的主题将包括实验设计，统计分析和预测建模，机器学习，数据可视化，科学写作和演示。组织学生分组团队合作讨论，以项目组的形式完成小组项目任务。通过本课程的学习，使学生提高解决实际问题的能力，并锻炼表达沟通能力.
STA322. Data Science Projects and PresentationLecture and experiment, 2 credits, 3 hours per week. Pre-requisites: MA204 Mathematical Statistics, STA321 Distributed Storage and Parallel Computing. This course explores concepts and techniques for design, formulation, and execution of practical, applied data science. Topics covered will include experimental design, statistical analysis and predictive modeling, machine learning, data visualization, scientific writing, and presentation. In addition, we will organize students to discuss and cooperate in groups, and complete projects. Through the study of this course, students can and will improve their ability to solve practical problems and exercise their ability of expression and communication.
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