"If we have data, let's look at data. If all we have are opinions, let's go with mine."
– Jim Barksdale, former Netscape CEO
Data science is a very broad term and can assume several different meanings based on context, understanding, tools, and so on. There are countless books on this subject, which is not suitable for the faint-hearted.
In order to do proper data science, you need to, at the very least, know mathematics and statistics. Then, you may want to dig into other subjects, such as pattern recognition and machine learning and, of course, there is a plethora of languages and tools you can choose from.
I won't be able to talk about everything here. Therefore, in order to render this chapter meaningful, we're going to work on a cool project together instead.
Around the year 2012/2013, I was working for a top-tier social media...
