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  • Quant Bootcamp

    • Quant Bootcamp

      The Quant Bootcamp is the most comprehensive overview course in Advanced Data Science and Quantitative Finance.

      You can attend onsite or live streaming.

    • Overview
      4+2 days, comprehensive curriculum + world-renowned guest speakers

      Reviews
      Alumni's voices about the Quant Bootcamp

      FAQs

      Register

    • Overview
    • Reviews
    • FAQs
    • Register
  • Quant Marathon

    • Quant Marathon

      The Quant Marathon is the most advanced program in Data Science and Quantitative Finance.

      You can follow the whole program or individual courses.

    • Overview
      7 courses over one year

      Courses
      All-encompassing, mutually exclusive, in-depth

      Reviews
      Alumni's voices about the Quant Marathon

      FAQs

      Register

      Watch Info Session

    • Overview
    • Courses
    • Reviews
    • FAQs
    • Register
    • Watch Info Session
  • Lab

    • Lab

    • Overview
      Multi-channel E-textbook on Advanced Data Science and Quantitative Finance

      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

      Register

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

    • Certification

      Financial institutions worldwide trust the ARPM Certification as a benchmark for the advancement of their in-house talent.

    • Overview
      ARPM Certification

      Testing
      Guidelines for the projects requested to achieve the ARPM Certification

      FAQs

      Register

    • Overview
    • Testing
    • FAQs
    • Register
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Quant Bootcamp - Register

Overview course in Advanced Data Science and Quantitative Finance

Your price:

Flexible payment plan

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Lectures - In person onsite
Jul 6-9
Guests Speakers - In person onsite
Jul 6-9
Networking - In person onsite
Jul 6-9
Lectures - Recorded and Live streaming
Jul 6-9 and 16-17
Guests Speakers - Recorded and Live streaming
Jul 6-9 and 16-17
Networking - E-lounge
Jul 6-10 and 16-17
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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