数据分析导论

Credits: 3

许多专业和岗位都要求具备根据统计数据做出客观决定的能力。本模块课程旨在向学生介绍基础的数据分析概念和统计应用工具。学生将会参与数据样本制作和探究相关的活动，还将通过统计软件了解基础的概率概念。

本模块课程还将概述各种探究性数据分析技术，如数字汇总统计技术和基础数据可视化技术。学生还在指导下进行各种统计软件的安装和使用，并利用这些平台开展实验室训练和项目，获得实用的实践经验。

本模块课程旨在培养学生的基本编程技能，为高级课程中的推理和建模任务奠定坚实的基础，确保学生做好充分的准备应对未来职业生涯中可能遇到的数据分析难题和挑战。

课程结束时，学生应能：

• 利用统计软件的计算、模拟和可视化功能了解探究性数据分析。

• 了解标准单变量分布及其特性的基本知识。

• 学习数据的收集、分析及准确解释。

• 通过实践项目提高数据分析相关技能。

• 运用统计概念，学会熟练撰写描述、分析和解释数据集的简洁报告。

Introduction to Data Analysis 数据分析导论

Credits: 3

Many jobs and professions necessitate the ability to make objective decisions based on statistical data. This module aims to introduce students to the foundational concepts of data analysis and the application of statistical packages. Students will engage in activities involving data sampling and exploration, coupled with an introduction to basic probability concepts using statistical software.

The module will also provide an overview of a diverse set of exploratory data analysis techniques, such as numeric summary statistics and fundamental data visualization. Students will be guided through the installation and use of various statistical software.

They will use these platforms for lab exercises and projects, providing them with practical, hands-on experience. The module is designed to develop fundamental programming skills, which will serve as a solid foundation for inference and modelling tasks in advanced-level courses. This ensures students are well-prepared for the complexities and challenges of data analysis they might encounter in their future professional roles.

By the end of the module, students should be able to:

• Understanding exploratory data analysis via computation, simulation, and visualization utilizing statistical software.

• Acquire a foundational knowledge of standard univariate distributions and their properties.

• Learn how to collect, analyse, and correctly interpret data.

• Enhance skills pertinent to data analysis through hands-on projects.

• Become proficient in writing concise reports that describe, analyse, and interpret datasets using statistical concepts.