基于Python的商业分析工具

本环节注重商业投资理论的基础分析模型学习。学生将以学科为基础，深入研究风险和回报的关系。This module deals with Data Science and Python:

商业分析概论 Business Analytics definition

Python编程 Python essentials

数据可视化 Data visualization

统计学与概率论 Statistics and Probability

商业分析模型 Business Analytics: Econometrics and statistical modeling (Time series,Factors Models,Market Analytics)

数据建模 Data Science Modeling

数据管理 Management

大数据和机器学习是近年来商业领域广泛讨论并探索应用的新兴量化分析工具和概念。本环节将关注金融商业领域应用的最新且最重要的理念与工具。Big data and machine learning are emerging as new and important areas in the industry. We look at the latest and most important ideas and techniques used within big Data. We will use Python, Sci kit Learn and Tensorflow.

监督学习 Supervised Learning: Classification and Regression

分类 Classification: Logistic Regression, K nearest, support vector machines, Decision Trees

回归 Regression: Linear Regression, Lasso and Ridge, Non Linear Regression

集成 Ensembles: bagging and boosting

无监督学习 Unsupervised Learning: Dimension Reduction, PCA and clustering

深度学习Deep Learning

加强学习 Reinforcement Learning

项目回顾与成果展示Program Review and Presentation

论文辅导 Project Deliverables Tutoring