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Predictive modelling with big data

  • Panthera Academy

DESCRIPTION

 

Financial companies have widely adopted big data analytics to uncover hidden patterns that can help them make more-informed business decisions. Best forecasting principles in risky and uncertain environments are introduced and some of the widely used methodologies in machine learning are also studied.

This training sprint covers a range of forecasting tools from small data and small models to big data and big models.

 

PROGRAM

 

PART ONE


BEST PRACTICES (90min)

  • Best forecasting principles
  • How to avoid being fooled by randomness
  • Slow tails and paradigm shifts
  • Big versus small models
  • Selecting good models with Big and small data

BREAK (10min)

 

PART TWO


DELIBERATE PRACTICE (60min)

  • Learn how to use Big Data to make better predictions in risky and uncertain environments
  •  

LESSONS LEARNED (10min)

NEXT STEPS (5min)

FEEDBACK FORM (5min)

 

SEMINAR DETAILS

 

LECTURER

Gregory Gadzinski

LENGTH 

3h

LEARNING GOAL 

Learn how to use Big Data to make better predictions in risky anduncertain environments

PS FRAMEWORK

Choice Architecture / Toolbox

CPD ACCREDITED

Yes (3 credits)

LANGUAGE

English (on-demand in French)

BENEFICIAL FOR

CIOs, investment committee members, fund managers, risk and performance analysts, quants

SPRINT STRUCTURE

90min input + 90min deliberate practice, reflection and implementation planning

FORMAT 

Online (Zoom or Awarenow)

MINIMUM SIZE

5 participants

 

COSTS                      250 EURO PER PARTICIPANT

 

JUNE 23, 2021


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