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.
What you will learn
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Proficiency in importing, transforming, and pre-processing large alternative datasets to be used within an institutional investment framework
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Ability to clean, aggregate and utilize unstructured, raw alt. datasets
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Deep understanding of the advantages and pitfalls of the alternative data ecosystem.
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
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Removing bias from data to increase revenue production accuracy
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Maximizing panel constituent counts with non-linear imputation
MARCH 3
10:30 AM - 2:30 PM
DAY 2
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Refined techniques to combine heterogeneous datasets
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Showcase and validate alt. data for various investment themes
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Valuate alt. data using established alpha estimation techniques
MARCH 4
1:00 PM - 5:00 PM
Prerequisites
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Availability for a two day, behind-the-keyboard immersive computer lab
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Beginner Python or R
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SQL familiarity
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Excel familiarity
Testimonials
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Rafael Jacobs
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Isa Treadwell
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JC Brant
Instructor
FEATURED INDUSTRY EXPERTS
Gene Ekster
NYU's Courant Institute of Mathematical Sciences
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.
Media
"Professors Announce a Paper and an NYU Course Revealing Intimate Details of the Alternative Data Industry"
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