How To Apply Data Science To Real Business Problems - Seattle Data Guy

Data science and statistics are not magic. They won't magically fix all of a company's problems. However, they are useful tools to help companies make more accurate decisions and automate repetitive work and choices that teams need to make. Machine learning and data science get referenced a lot when referring to natural language processing, imaging recognition and chat bots. However, they also can be applied to help managers make decisions, predict future revenues, segment markets, produce better content and diagnosis patients more effectively. Below, we are going to discuss some case examples of statistics and applied data science algorithms that can help your business and team produce more accurate results. This doesn't require complex hadoop clusters and cloud analytics. Just, let's get the basics going first! Before we jump to far down the rabbit hole of technology and hype!