R is a powerful language used widely for data analysis and statistical computing. Inclusion of powerful packages in R has made it more and more powerful with time. One such recent and wonderful package for Covid-19 is ‘covid19.analytics‘. COVID19.Analytics Package Introduction The “covid19.analytics” R package allows users to obtain live …
Quarantine has hit all of us hard. But it can be an opportunity in disguise. I thought to utilize my quarantine time for some productive purpose and bring my knowledge of actuarial subjects to practical use. But I wasn’t very sure of how to do …
Hello, this is Yash Agarwal. In this article, I will be talking about my journey on becoming a Data Analyst whilst pursuing Actuarial. Currently, I am working in the Analytics department with a reputed Company, having cleared 7 Actuarial Papers. I will be talking about …
Data has always played the role of the backbone in the insurance sector. Nowadays the rate of increase in data is greater than the population growth itself. Big companies and startups are looking forward to investing in data analytics. But human effort can’t compile the …
This article has been written by Shivang , one of our highly dedicated and hardworking volunteer. “By the year 2020, about 1.7 megabytes of new information will be created every second for every human being on planet”, a line from a article in Forbes that …
Tomorrow’s insurance success stories will qualify the outputs of AI tools with good old-fashioned actuarial judgement, pricing in assumptions and instigating the appropriate checks and balances. This kind of actuary-machine combo will generate prices and products superior to those either one could muster
While they both revolve around data, there are certain lines drawn between these two. For instance, actuaries are found primarily in the insurance industry and risk management. On the other hand data scientist can be found in virtually any industry. If we have a comparative lookout of actuarial science and data science, prior is about the study of finance and related fields and activities and latter is about studying different data sets, their relationship and analysis.