Objectives and background

Julia is a relatively new 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 having background of Python or R or Java or C++. Julia Community is growing & its Libraries are becoming more and more mature. Julia can be run in Jupyter Notebook also. Julia is extremely powerful in entire Data Science value chain. Therefore, this hands-on training has been offered for the benefit of Insurance, InsurTech and other related industries.


ü  What & Why Julia for Data Science

ü  Julia Development Environment

ü  Julia for Exploratory Data Analytics & Visualizations

ü  Julia applications in General Insurance Data Science

ü  Julia for Machine Learning & other Data Science techniques

It will have proper blend of Conceptual inputs, Hands-on Exercises and Practical Case Studies.

Participants’ Profile:

This training is open to all – General 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 General Insurance including HI, Re-Insurance organizations, Regulators, Insurance Information Bureau, Broking companies.  Working 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:             11.12.2023 – 13.12.2023