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经济金融使用的Python课程

  • 上课形式

    上课形式:线上

  • 上课形式

    上课时间:3周

  • 上课形式

    年龄要求:8-12年级



经济金融使用的Python课程



course description



Python is commonly used programming language for data science. It is a powerful and easy to learn tool that can be applied to make simple histograms or fit complicated machine learning models. This course is a basic introduction to Python for basic data exploration, analysis, and visualization. Students will learn about data types and focus on analysis through a hands-on approach. Students will complete the program with the necessary foundation to recognize data types, and manipulate data for visualization and application. The data and examples will mainly come from finance and economics.

 

The school conducts cutting edge research by developing new methodologies and applying them to understand society’s most critical issues. This course seeks to train the next generation of economic leaders in the private sector, government and academia. Students will have the chance to work with both students and faculty as part of the Python for Economics and Finance Summer Institute, expand knowledge of critical economic issues affecting the United States and the world.

 

Lecture topics will include:

- Data Types

- Flow Control, Functions & Loops

- Numerical Programming (NumPy)

- Basic Math & Array Functions

- Data Manipulation (pandas)

- Visualization

- Basic Regression & Time Series

- Data Analysis Applications





课程介绍


Python是数据科学常用的编程语言,也是一个功能强大且易于学习的工具,可用于制作简单的直方图或复杂的机器学习模型。本课程在基础数据探索、分析和可视化范围内介绍Python基础概念。学生将学习数据类型,并通过实践方法去分析数据。学生有机会获得所必要的基础,识别数据类型,操作数据以实现可视化和应用。数据和实例主要来自金融和经济行业。

 

学校开展前沿研究,并使用新开发的方法来理解社会最关键的问题。本课程旨在培养个体、政府和学术界的下一代经济领袖。学生有机会与同学和教师一起工作,掌握更多影响美国和世界的关键经济问题的知识。

 

课程主题包括:

-数据类型

-流量控制、功能和回路

-数值编程(NumPy

-基础数学和数组函数

-数据处理

-可视化技术

-基础回归与时间序列

-数据分析应用




课程时间:7月15日--8月4日



入学资格:



- 在线申请

- 成绩单

- 250字essay

- 托福80以上(Duolinguo 105)

- 申请开放日:2月15日



































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