Exploring the field of data science
Let’s start by defining what data science is and isn’t.
I define data science as the discipline of preparing and analyzing large amounts of data to extract insights and determine future behavior through machine learning and predictive modeling.
In other words, data science is all about gathering insights from the large amounts of data organizations amass every day. In fact, this is part of why data science has experienced an increase in popularity in the past decade.
Over the past several decades, organizations have moved more of their applications to be hosted on cloud computing providers such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud. This shift to cloud hosting had several benefits, including the following:
- Ease in scaling web applications and databases as usage grows
- Ease in adding new capabilities such as cloud storage and machine learning
- Automated tools for collecting, storing, and...
