About this Course
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Flexible deadlines

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Intermediate Level

Python programming (beginners)

Investment theory (recommended)

Statistics (recommended)

Approx. 11 hours to complete

Suggested: 4 weeks of study, 2 hours per week...

English

Subtitles: English

What you will learn

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

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

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

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

Skills you will gain

Advanced vizualisationBasics of consuption-based alternative dataText mining methodologiesWeb-scritpting tools

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Python programming (beginners)

Investment theory (recommended)

Statistics (recommended)

Approx. 11 hours to complete

Suggested: 4 weeks of study, 2 hours per week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
4 hours to complete

Consumption

10 videos (Total 74 min), 3 readings, 1 quiz
10 videos
What is consumption data?8m
Geolocation and foot-traffic5m
Lab session: Introduction to the Uber Dataset6m
Lab session: Points of Interest5m
Lab session: Mapping Data with Folium9m
Lab session: Testing Seasonality11m
Application: Consumption data and earning surprises7m
Application:Consumption-based proxies for private information and managers behavior7m
Application: Additional applications of consumption data7m
3 readings
Material at your disposal5m
Additional resources on the interest of real-time corporate sales'measures1h
Additional resources on Predicting Performance using Consumer Big Data1h
1 practice exercise
Graded Quiz on Consumption30m
Week
2
2 hours to complete

Textual Analysis for Financial Applications

8 videos (Total 75 min), 1 reading, 1 quiz
8 videos
Introduction to textual analysis3m
Processing text into vectors12m
Normalizing textual data5m
Lab session: Introduction to Webscraping11m
Lab session: Applied Text Data Processing11m
Lab session: Company Distances and Industry Distances15m
Application: applying similarity analysis on corporate filings to predict returns9m
1 reading
Additional resources on textual analysis for financial applications1h
1 practice exercise
Graded Quiz on Textual Analysis for Financial Applications
Week
3
3 hours to complete

Processing Corporate Filings

8 videos (Total 69 min), 2 readings, 1 quiz
8 videos
Lab session: Working with 10-K Data7m
Lab session: Applications of TF-IDF11m
Lab session: Risk Analysis9m
Lab session: Working with 13-F Data10m
Lab session: Comparing Holding Similarities11m
Application: network centrality, competition links and stock returns8m
Application: Using location data to measure home bias to predict returns4m
2 readings
Additional resources30m
Additional resources on processing corporate fillings1h 15m
1 practice exercise
Graded Quiz on Processing Corporate Filings
Week
4
6 hours to complete

Using Media-Derived Data

7 videos (Total 62 min), 3 readings, 1 quiz
7 videos
Sentiment Analysis6m
Lab session: Twitter Dataset Introduction10m
Lab session: Network Visualization4m
Lab session: Replicating PageRank12m
Lab session: Applied Sentiment Analysis7m
Application: Using media to predict financial market variables10m
3 readings
Additional resources1h
Additional resources1h 15m
Additional resources on using media derived-data2h 30m
1 practice exercise
Graded Quiz on Using Media-Derived Data

Instructors

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Gideon OZIK

Founder and managing partner of MKT MediaStats
Data science and financial economics
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Sean McOwen

Quantitative Analyst
Finance

About EDHEC Business School

Founded in 1906, EDHEC is now one of Europe’s top 15 business schools . Based in Lille, Nice, Paris, London and Singapore, and counting over 90 nationalities on its campuses, EDHEC is a fully international school directly connected to the business world. With over 40,000 graduates in 120 countries, it trains committed managers capable of dealing with the challenges of a fast-evolving world. Harnessing its core values of excellence, innovation and entrepreneurial spirit, EDHEC has developed a strategic model founded on research of true practical use to society, businesses and students, and which is particularly evident in the work of EDHEC-Risk Institute and Scientific Beta. The School functions as a genuine laboratory of ideas and plays a pioneering role in the field of digital education via EDHEC Online, the first fully online degree-level training platform. These various components make EDHEC a centre of knowledge, experience and diversity, geared to preparing new generations of managers to excel in a world subject to transformational change. EDHEC in figures: 8,600 students in academic education, 19 degree programmes ranging from bachelor to PhD level, 184 professors and researchers, 11 specialist research centres. ...

About the Investment Management with Python and Machine Learning Specialization

The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions....
Investment Management with Python and Machine Learning

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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