課程信息

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中級

Python programming (beginners)

Investment theory (recommended)

Statistics (recommended)

完成時間大約為19 小時
英語(English)

您將學到的內容有

  • Learn what alternative data is and how it is used in financial market applications. 

  • Become immersed in current academic and practitioner state-of-the-art research pertaining to alternative data applications.

  • Perform data analysis of real-world alternative datasets using Python.

  • Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance

您將獲得的技能

Advanced vizualisationBasics of consuption-based alternative dataText mining methodologiesWeb-scritpting tools
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級

Python programming (beginners)

Investment theory (recommended)

Statistics (recommended)

完成時間大約為19 小時
英語(English)

提供方

Placeholder

北方高等商学院

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 5 小時

Consumption

完成時間為 5 小時
10 個視頻 (總計 74 分鐘), 5 個閱讀材料, 1 個測驗
10 個視頻
What is consumption data?8分鐘
Geolocation and foot-traffic5分鐘
Lab session: Introduction to the Uber Dataset6分鐘
Lab session: Points of Interest5分鐘
Lab session: Mapping Data with Folium9分鐘
Lab session: Testing Seasonality11分鐘
Application: Consumption data and earning surprises7分鐘
Application:Consumption-based proxies for private information and managers behavior7分鐘
Application: Additional applications of consumption data7分鐘
5 個閱讀材料
Material at your disposal5分鐘
Note about HeatMapWithTime2分鐘
Extra materials on consumption1小時
Additional resources on the interest of real-time corporate sales'measures1小時
Additional resources on Predicting Performance using Consumer Big Data1小時
1 個練習
Graded Quiz on Consumption30分鐘
2

2

完成時間為 4 小時

Textual Analysis for Financial Applications

完成時間為 4 小時
8 個視頻 (總計 75 分鐘), 2 個閱讀材料, 1 個測驗
8 個視頻
Introduction to textual analysis3分鐘
Processing text into vectors12分鐘
Normalizing textual data5分鐘
Lab session: Introduction to Webscraping11分鐘
Lab session: Applied Text Data Processing11分鐘
Lab session: Company Distances and Industry Distances15分鐘
Application: applying similarity analysis on corporate filings to predict returns9分鐘
2 個閱讀材料
Extra materials on Textual Analysis for Financial Applications1 小時 10 分
Additional resources on textual analysis for financial applications1小時
1 個練習
Graded Quiz on Textual Analysis for Financial Applications
3

3

完成時間為 4 小時

Processing Corporate Filings

完成時間為 4 小時
8 個視頻 (總計 69 分鐘), 4 個閱讀材料, 1 個測驗
8 個視頻
Lab session: Working with 10-K Data7分鐘
Lab session: Applications of TF-IDF11分鐘
Lab session: Risk Analysis9分鐘
Lab session: Working with 13-F Data10分鐘
Lab session: Comparing Holding Similarities11分鐘
Application: network centrality, competition links and stock returns8分鐘
Application: Using location data to measure home bias to predict returns4分鐘
4 個閱讀材料
Instructor's announcement2分鐘
Extra materials on Processing Corporate Filings30分鐘
Additional resources30分鐘
Additional resources on processing corporate fillings1 小時 15 分
1 個練習
Graded Quiz on Processing Corporate Filings
4

4

完成時間為 7 小時

Using Media-Derived Data

完成時間為 7 小時
7 個視頻 (總計 62 分鐘), 5 個閱讀材料, 1 個測驗
7 個視頻
Sentiment Analysis6分鐘
Lab session: Twitter Dataset Introduction10分鐘
Lab session: Network Visualization4分鐘
Lab session: Replicating PageRank12分鐘
Lab session: Applied Sentiment Analysis7分鐘
Application: Using media to predict financial market variables10分鐘
5 個閱讀材料
Additional resources1小時
Additional resources1 小時 15 分
Extra materials on Using Media-Derived Data1 小時 10 分
Additional resources on using media derived-data2 小時 30 分
Data recap10分鐘
1 個練習
Graded Quiz on Using Media-Derived Data

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關於 Investment Management with Python and Machine Learning 專項課程

Investment Management with Python and Machine Learning

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