One of the greatest misconceptions surrounding data science is that it is a brand new industry. It isn’t. In fact, it’s been around for more than 50 years. And it’s taken that amount of time for it to grow in popularity and to become one of the fastest-growing, in-demand occupations in the world. Because of how important data science is in my day-to-day life, I wanted to walk through its history and cover a few very important moments. Here is a brief history of data science.
Last month, I’d written a blog on another one of my sites that details some of the most common techniques that business analysts use. In that blog, I only highlighted two different techniques, but as any good business analyst knows, there are far more methods and techniques available than just two. This is precisely why I’d like to offer a few more commonly used business analyst techniques that can help pave the way for any young and aspiring business analysts. The MOST analy
As an experienced business analyst with over 10 years of experience, I understand the intricacies of the industry quite well. However, I also understand that, much like any industry, business analysis can be quite confusing and difficult to understand. Considering that the bulk of this website’s blogs will deal heavily with business analysis and data science, I figured that it would help if my audience understood the topics that I am discussing. That being said, this first bl