PUNE
P824
- JULIA FOR INSURANCE DATA SCIENCE (NON-LIFE)
Objectives
and background:
Julia is a relatively new and very powerful programming language
that has been gaining importance in Data Science & AI space. The main
advantage of Julia over other Machine Learning languages is speed &
security. Julia is compiler-based language, having great capabilities for
parallel processing also. It is relatively easy to learn Julia to those who have
background of Python or R or Java or C++, etc. Julia Community is growing &
its Libraries are becoming more and more mature. Julia can be run in Jupiter
Notebook also. Julia is extremely useful in the entire Insurance Data Science
value chain. Therefore, this hands-on training has been offered for the benefit
of Insurance, Insurtech and other related industries.
Contents:
§
What & Why
Julia for Data Science
§
Julia
Development Environment
§
Julia for
Exploratory Data Analytics & Visualizations
§
Julia
applications in Financial & Insurance Data Science
§
Julia for
Machine Learning & other Data Science techniques
The programme has a proper blend of Conceptual inputs, Hands-on Exercises and Practical Case Studies.
Participants’
Profile:
This training is open to all – Insurance industry and other
related organizations from within India as well as from other countries.
Officers / Executives / Manager or higher management from IT / Data Analytics /
Data Science, Actuarial, other insurance technical areas, various functional
areas (Marketing / Business Development) of LI, GI, HI, Re-Insurance
organizations, Regulators, Insurance Information Bureau, Broking companies.
Employees from any other organization & interested in learning ‘Julia for
Data Science’. Prior knowledge / skills of Julia though not necessary, having
background of either R or Python or C or C++ or Java will be more advantageous.
Duration:
3 days
Dates:
10.02.2025 - 12.02.2025