The First Post: An Intro to Intros
The main focus of this site will be to discuss Data Science in its various forms using the many tools we have at our disposal as well as to serve as a documentation of my own personal growth in this field. I look forward to learning much and thank you for taking the time to learn with me! On learning, in T.H. White’s The Once and Future King Merlin says:
“The best thing for being sad,” replied Merlin, beginning to puff and blow, “is to learn something. That’s the only thing that never fails. You may grow old and trembling in your anatomies, you may lie awake at night listening to the disorder of your veins, you may miss your only love, you may see the world about you devastated by evil lunatics, or know your honour trampled in the sewers of baser minds. There is only one thing for it then — to learn. Learn why the world wags and what wags it. That is the only thing which the mind can never exhaust, never alienate, never be tortured by, never fear or distrust, and never dream of regretting. Learning is the only thing for you. Look what a lot of things there are to learn.”
The Language of Data
As we begin this site, you will find I have a penchant for R ( in fact this site is written in it! ) but hope to explore other languages like Python as my time permits. I found in school that Matlab was pushed very heavily in engineering curricula and as my first and only introduction to computer programming, I grew an aversion to it. I also found that I wasn’t very interested in the subject matter we were applying Matlab to, like assessing harmonic frequencies in bridges or replicating sinusoidal waves which had no direct meaning. I think many engineers from non-computer-based subsets have experienced this.
At Children’s Hospital of Philadelphia, I happened to attend an introductory R course on the premise it would make my work flow a little better and I immediately found that the missing piece in my coding repertoire finally fell in place. For some reason things started clicking and I gained immense satisfaction from running successful R-scripts with stunning visuals and depth of creativity. In this regard you could say I fell into R by chance but it is why I have decided to pursue data science today. At the time of this post I am midway through two textbooks, Scott Burger’s Introduction to Machine Learning with R and Head First SQL both from O’Reilly. I decided that if I wanted to pursue data science, I would have to take a step back from one I jumped over and add SQL to my toolkit.
Future Discussion Points
In upcoming posts I look forward to discussing basic packages in R and their usefulness in data visualization and manipulation:
Thank you so much!
For humoring my first post, for checking out the site, and for sticking around to see where it goes from here!