序号 | 课程中文名称 | 课程英文名称 |
1 | 数据科学基础 | Foundations of Data Science |
2 | 实践中的回归 | Regression in Practice |
3 | 高维数据分析 | High-dimensional Data Analysis |
4 | 数据挖掘 | Data Mining |
5 | 应用生存数据分析 | Applied Survival Data Analysis |
6 | 数据科学编程技术 | Programming Techniques for Data Science |
7 | 离散数据分析 | Discrete Data Analytics |
8 | 金融时间序列 | Financial Time Series |
9 | 精算基本原理及其应用 | Basic Actuarial Principles and Their Applications |
10 | 应用贝叶斯方法 | Applied Bayesian Methods |
11 | 数据科学和商业统计精选主题 | Selected Topics on Data Science and Business Statistics |
12 | 官方统计和结构方程建模 | Official Statistics and Structural Equation Modelling |
13 | 风险管理中的高级统计理论 | Advanced Statistical Theory In Risk Management |
14 | 风险管理原则 | Principles of Risk Management |
15 | 风险的措施 | Risk Measures |
16 | 风险管理实务案例 | Cases for Risk Management in Practice |
17 | 风险管理和财务中的统计方法 | Statistical Methods in Risk Management and Finance |
18 | 风险管理和金融中的模拟技术 | Simulation Techniques in Risk Management and Finance |
19 | 利率和固定收益风险管理 | Interest Rate and Fixed Incomes Risk Management |
20 | 信用风险管理 | Credit Risk Management |
21 | 操作风险管理 | Operational Risk Management |
22 | 风险管理专题 | Special Topics in Risk Management |
23 | 定量金融专题 | Special Topics in Quantitative Finance |
24 | 风险管理视角下的投资组合理论 | Portfolio theory with Risk Management Perspective |
25 | 风险和财务数据分析与Python | Risk and Financial Data Analytics with Python |
26 | 实习 | Practicum |