According to Wikipedia, Data Science is “an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics”. In other words, most of my friends are drifting off about 15 seconds into my explanation of what I do.
It may not sound like Data Science has a lot to do with everyday life, but my goal is to show you that it does. Think about it – what if instead of spending time repeating tasks like the weekly shopping list, you were able to build a program that does it for you? What if you could plan a vacation based on real data about a place instead of just hoping to get good weather? What if you had a better handle on your finances because you could access data about yourself with just a few lines of code? What if instead of just tracking your steps you could model whether you had made a significant change in your behavior over time?
The tools I’ll be using on this blog have the ability to do incredible, complex, analyses. However, they can also be used to simplify everyday tasks and organize information in a way that makes it more accessible. Even better than that – they are free. You don’t need an expensive software license to use them. And once you write a program that is useful to you, it is yours to keep and run as many times as you like. This blog is not about demonstrating the most complex coding possible, it is about demonstrating how relevant code can be to our daily life and breaking it into manageable pieces so that anyone who could benefit from it can understand it. I hope what you see here sparks your imagination and encourages you to learn something new!