Python and Alternative Data

Sessions include an introduction to alternative data and working with large datasets in Python.

This online course specifically designed for those working with Python and alternative data.

Attendees will gain a new understanding of Python in relation to alternative data and how it may be beneficial in their organizations. Topics such as natural language processing in Python as well as an introduction to alternative data will be covered in-depth by our seasoned instructor.

Over the course of four days, delegates will have the opportunity to learn from our course instructor, Saeed Amen, the founder of Cuemacro. Saeed has previously worked at companies such as Nomura and Leham Brothers developing algorithmic trading strategies. Each day of this fully online training will comprise of a two hour presentation followed by an hour of tutorial. There will be plenty of opportunity for discussion and Q&A.

Join us to learn how alternative data can be beneficial and applicable for your organization.
 

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What will you learn?
  • An introduction to Python and alternative data

  • What makes alternative data different including challenges and legal aspects

  • Natural language processing in Python including use cases

  • How to work with large datasets in Python

  • Machine learning in alternative data 

  • Smaller and larger dataset computation

  • Tutorial based applications 

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Who should attend?
  • Alternative data

  • Python

  • Natural language processing

  • Data analysis 

  • Machine learning 

Sessions include
  • Python primer for data analysis + Tutorial

  • Introduction to alternative data + Tutorial

  • Natural language processing in Python + Tutorial

  • Working with large datasets in Python + Tutorial

Pricing options

We offer flexible pricing options for this course:

  • Early bird rates - save up to $500

  • Group booking rate - save over $1500

  • Subscribe to receive Risk Training updates and avoid missing out on additional savings

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Saeed Amen

Founder, cuemacro and visiting lecturer

Queen Mary University of London

Saeed Amen is the founder of Cuemacro. Over the past fifteen years, Saeed Amen has developed systematic trading strategies at major investment banks including Lehman Brothers and Nomura. He is also the author of Trading Thalesians: What the ancient world can teach us about trading today (Palgrave Macmillan) and is the co-author of The Book of Alternative Data (Wiley), due in 2020.

Through Cuemacro, he now consults and publishes research for clients in the area of systematic trading. He has developed many Python libraries including finmarketpy and tcapy for transaction cost analysis. His clients have included major quant funds and data companies such as Bloomberg. He has presented his work at many conferences and institutions which include the ECB, IMF, Bank of England and Federal Reserve Board. He is also a co-founder of the Thalesians.

Live Virtual training courses

 

Our live virtual training courses have been designed to engage and inspire you. Much more than a webinar, our approach includes:

  • Technical content compressed into 60-minute interactive sessions and spread out over two, three or four days

  • Facilitated collaboration including Q&A, interactive polling and group workshops

  • Live interaction with subject matter experts – get your questions answered in real time

  • Receive comprehensive course materials and supporting content from Risk.net to reinforce your learning

  • Stay connected with other learners and extend your network by joining our dedicated LinkedIn group for course participants

Not the course for you?

Risk Training offers a great selection of courses providing practical guidance on the latest trends, challenges and regulatory changes that span risk management, regulation and derivatives.

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E-Learning

Risk Training’s self-paced E-Learning platform offers Essentials of Operational Risk programme, plus more topics to come soon.
 

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