Data Science In Healthcare

My first professional job was at Polaroid Corp. Those with long memories would remember Polaroid as a technological titan in its time. One of the training programs offered to the technical staff during my tenure was a 6-month course in "statistical engineering". The course taught statistical fundamentals and experimental design. I found it immensely enjoyable and applied what I learned in my technical jobs for about ten years before transitioning to "management".

In recent years, we have heard much about "Data Science".

So, what exactly is Data Science?

Here's a concise definition: “Data science is an interdisciplinary field that uses scientific methods and algorithms to extract knowledge from structured and unstructured data.

It combines statistics, computational methods, and specific domain knowledge to interpret data patterns. It aims to assist organizations in making informed decisions based on data analysis”.

Data science's incredible power can be attributed to a few key factors:

• Diminishing marginal cost of computing power, thanks to vendors like IBM, Microsoft, and others. Now, it is accessible to everyone
• Capability to manage enormous data sets at low marginal costs in the cloud
• Emergence of standard algorithms and tools that expedite the entire process

I've been monitoring the evolution of…