Alternative Data Training

Intensive Elite Sessions

STAY AHEAD OF THE INDUSTRY

Alt. Data for investment professionals

Industry-leading techniques

Online

Two days 10 Sections

​De-Biasing

​Increasing Representativeness

​Panel Stabilization

​Maximize the Sample Size

​Practical Data
Cleansing

​Powerful NLP
One-Liners

​Application to Equities

​Predict Performance Sensitive KPIs

Learning outcome

Using real-world alternative data, this course will cover the quantitative aspects of ticker tagging, panel stabilization of non-uniform panels, sample bias reduction, KPI extraction and revenue models.

 

At the end of this course, you will have gained the quantitative and technical skills to transform raw alternative data into fully fledged investment products for both quantitative and fundamental insitiutal investors.

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What you will learn

  • Proficiency in importing, transforming, and pre-processing large alternative datasets to be used within an institutional investment framework

 

  • Ability to clean, aggregate and utilize unstructured, raw alt. datasets

 

  • Deep understanding of the advantages and pitfalls of the alternative data ecosystem.

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Seminar Computing Platform

The custom-made computing platform demonstrated in these classes comprise a toolkit of algorithms and code tailored to solve common challenges of the alternative data industry including:

Platform Components

Data

reprocessing

ticker mapping

Revenue modeling

backtesting system

Seminar Participants are eligible to receive a full transfer of the initialized platform and codebase into an AWS account of their choice

Curriculum

ENROLLING NOW

DAY 1

  • Removing bias from data to increase revenue production accuracy

  • Maximizing panel constituent counts with non-linear imputation

MARCH 3

10:30 AM - 2:30 PM

DAY 2

  • Refined techniques to combine heterogeneous datasets

  • Showcase and validate alt. data for various investment themes

  • Valuate alt. data using established alpha estimation techniques

MARCH 4

1:00 PM - 5:00 PM

Prerequisites

  • Availability for a two day, behind-the-keyboard immersive computer lab

  • Beginner Python or R

  • SQL familiarity

  • Excel familiarity

 

Testimonials 

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Instructor

FEATURED INDUSTRY EXPERTS

Gene Ekster

NYU's Courant Institute of Mathematical Sciences

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Gene Ekster is a professor at NYU where he teaches a master's course in alternative data. He is the founder of AltDG, an alternative data software company. Previously he helped establish the alternative data practices at Point72 Asset Management, Balyasny Asset Management, Lone Pine, 1010 Data, and Majestic Research. Gene is a board member of IDSO (a compliance organization), Eagle Alpha, Ottoquant and Super Signal Capital. He holds a degree in Artificial Intelligence from U.C. Berkeley, an MBA from Cornell University and is a CFA charter holder.

CONTACT

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Media

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“NYU - Courant Mathematics Finance Seminars”

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"Alternative Data in Investment Management: Usage, Challenges, and Valuation"