Shrinking big data
- Panthera Academy
DESCRIPTION
The vast proliferation of data and increasing technological advances continue to transform the way industries operate and compete. Financial companies, in particular, have adopted big data analytics to gain further insights on their environment and eventually make better investment decisions.
This seminar introduces common big data tools and show how to use them in order to handle big datasets.
PROGRAM
PART ONE
BEST PRACTICES (90min)
- What is Big Data
- Big Data versus small data : the curse of
- dimensionality
- Mummy, I shrank a big model
- Principal Component Analysis and Partial Correlations in Networks
- Text Mining : shrinking speeches
BREAK (10min)
PART TWO
DELIBERATE PRACTICE (60min)
- Participants will learn how to properly use and analyze Big Data
LESSONS LEARNED (10min)
NEXT STEPS (5min)
FEEDBACK FORM (5min)
SEMINAR DETAILS
|
LECTURER |
Gregory Gadzinski |
|
LENGTH |
3h |
|
LEARNING GOAL |
Learn how to properly use and analyze Big Data |
|
PS FRAMEWORK |
Choice Architecture / Toolbox |
|
CPD ACCREDITED |
Yes (3 credits) |
|
LANGUAGE |
English (on-demand in French) |
|
BENEFICIAL FOR |
All investment professionals with commercial duties |
|
SPRINT STRUCTURE |
90min input + 90min deliberate practice, reflection and implementation planning |
|
FORMAT |
Online (Zoom or Awarenow) |
|
MINIMUM SIZE |
5 participants |