What is dimensionality reduction, and why is it important in data science?

In the dynamic realm of data science, where information flows ceaselessly and datasets swell in size, the concept of dimensionality reduction emerges as a potent tool, indispensable for navigating through the complexity. In the heart of Australia's burgeoning tech landscape, where the demand for skilled professionals in data science is on the rise, understanding dimensionality reduction becomes imperative. So, let's embark on a journey to unravel its significance and applications in the realm of data science training in Australia.