Alternative Data Training
Intensive Elite Sessions
STAY AHEAD OF THE INDUSTRY
Techniques used by Industry-leaders
Intensive Two Day Seminars
Step-by-Step Tutorials
By expersts from NYU, Oxford, Point72
De-Biasing
Increasing Representativeness
Panel Stabilization
Maximize the Sample Size
Practical Data
Cleansing
Powerful NLP
One-Liners
Application to Equities
Predict Performance KPIs
Learning
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.
Outcome
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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.
Curriculum
ENROLLING NOW
DAY 1
MARCH 3
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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
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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Avaliabilty
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Beginner+ Python and SQL
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Excel
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Alt. Data Familiarity
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
Media
"Professors Announce a Paper and an NYU Course Revealing Intimate Details of the Alternative Data Industry"
“NYU Launches the World's First Alternative Data Course Following the Publication of a Seminal White Paper by Two of Its Professors”
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Instructor
FEATURED INDUSTRY EXPERTS
Gene Ekster
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.
