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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
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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.

Image by AltumCode

Outcome

  • 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.

Curriculum

ENROLLING NOW

DAY 1

MARCH 3

  • Removing bias from data to increase revenue production accuracy

  • Maximizing panel constituent counts with non-linear imputation

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

 
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Prerequisites

  • Avaliabilty

  • Beginner+ Python and SQL

  • Excel

  • 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

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"Professors Announce a Paper and an NYU Course Revealing Intimate Details of the Alternative Data Industry"

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Image by Mika Baumeister

"AltDG Offers a Free CPG Brand Mapping Database and Supports Thinknum's Alt Data Academy"

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“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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“NYU - Courant Mathematics Finance Seminars”

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"Casting an eye on the fastest growing segment in investment"

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Collating Data

"The use of alternative data by institutional investors"

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Display of Stock Market Quotes

"10th Annual Global Quantitative Investment Strategies Conference"

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"What Is Alternative Data and Why Is It Changing Finance?"

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“How Investors Are Using Social Media to Make Money”

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”Mitigating Alternative Data Compliance Risks Associated with Web Crawling”

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Analysing data

"Alternative Data in Investment Management"

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“How investors are using social media to make money”

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“Provider of Personal Finance Tools Tracks Bank Cards, Sells Data to Investors“

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“This is the future of investing, and you probably can't afford it”

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Financial Graphs

“Finding and using unique datasets by hedge funds”

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

 

Instructor

FEATURED INDUSTRY EXPERTS

Gene Ekster

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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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