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  • Quant Bootcamp

    • Quant Bootcamp is a 4+2-day intensive program in advanced data science for quantitative finance, combining expert instruction with professional networking.

    • Reviews
      Alumni's voices about the Quant Bootcamp

      FAQs

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    • Overview
    • Reviews
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  • Quant Marathon

    • Quant Marathon is a year-long, multi-course program offering a structured learning path in advanced data science and quantitative finance, with live classes and a certification track.

    • Courses
      All-encompassing, mutually exclusive, in-depth

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      Alumni's voices about the Quant Marathon

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    • Courses
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    • Join Info Session
  • Lab

    • The Lab is ARPM’s integrated e-textbook, unifying theory, code, case studies, and exercises in a single mathematical framework.

    • Data Science
      Mathematical Statistics for Finance, Linear Mean-Covariance Statistics, Probabilistic Machine Learning, Time Series and Sequential Decisions

      Quant Finance
      Financial Engineering, Portfolio and Enterprise Risk Management, Portfolio Construction and Trading

      Primers
      Mathematics, Finance and Python

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    • Overview
    • Data Science
    • Quant Finance
    • Primers
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  • Certification

    • Certification in Probabilistic Finance validates advanced quantitative proficiency in data science, risk management, and portfolio construction.

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    • Overview
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Quant Bootcamp presentation

Quant Bootcamp

4+2 days overview course in
Advanced Data Science and Quantitative Finance
NYU onsite/Live streaming July 13, 2026
learn more

Quant Bootcamp

4+2 days overview course in
Advanced Data Science and Quantitative Finance

NYU onsite/Live streaming July 13, 2026
learn more

Quant Bootcamp - Enroll

Your price:

Flexible payment plan

Lectures - In person onsite
Jul 13-16
Guests Speakers - In person onsite
Jul 13-16
Networking - In person onsite
Jul 13-16
Lectures - Recorded and Live streaming
Jul 13-16 and 23-24
Guests Speakers - Recorded and Live streaming
Jul 13-16 and 23-24
Networking - E-lounge
Jul 13-17 and 23-24
Lab with all study materials
Jul 1 - Aug 31
Q&A Forum
Jul 1 - Aug 31

(*) Not all guest lectures are recorded

Refund policy

 
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