Introduction
I've always been one to get to the bottom of things. Solving problems and explaining complex information is something I very much enjoy doing. I decided to pursue web development because I am always fascinated by the limitless potential of the web. Copious amounts of data are passed through every single day, which prompted my interest in data science. Building scalable web applications that provide data insights to help businesses make decisions is my hope for the prospect. This is how I see my career concentrations relating to one another.
Coming around 'full circle'
Since the beginning of the current year, I've seen a vision for my professional future that involved web development, database and data science. It's the perfect trio; it just makes sense.
The Web
Building for the web is one of my passions. I aspire to create beautiful sites and user interfaces that feel as natural as the fluent motion of touching a screen. At my current skill level, I am starting to apply my knowledge to larger projects. As I grow in my web dev journey, I will learn to create more powerful, high-quality works.
The other thing I admire about the web is the vast amount of information collected about people and things all over the globe. All of this collected data is turned into information that is used to help us make decisions in the real world.
Database
Data is all around us. Everything is an entity that can be broken down into attributes and turned into a dataset. This very concept blows my mind.
Where there is data, there are questions.
Where there are questions, there are always answers.
There are many methods of processing this data, thus the many Database Management Systems (DBMS) options that are available. We use this software to define, manipulate, retrieve and manage data in a database. Each kind of DBMS can be better at processing the data in certain ways than another.
Data Science
How we get the data is database, but how we use it is data science.
This is where I feel these concentrations come 'full circle'. The final stage in practical use of data that is making decisions based on our findings and insights. The methodology of data science involves understanding what kinds of data are required to prepare a model and evaluate a solution to the question at hand.
Conclusion
Limitless potential... that is the product of these fields of study.
Web design, the looks. Data science, the brains.
Database, the glue that holds them together.
I am looking forward to what I will learn in the coming years.
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