Introduction
Try at least some of the strongest group of people both mentally and physically. Some of those people have a day job of being a data scientist. so what can the job learn from the hobby? Well, that’s exactly what this article aims to detail and it is linked here.
Summary of Article
First, the article starts by clarifying what exactly a data scientist is and this article refers to it as basically a person who has a versatile skill set required for today’s Analytics professionals. Then the article describes a triathlon and the athletic aspect of this article. After that, the article draws a connection between the two through the triathlon mines that it says that similar to how triathletes must manage three different sports data scientists have to manage three different areas of communication analytical abilities, and coding rather than just zeroing in on one. The article dives into each of these three areas starting with communication skills. In today’s work environment, it’s a critical skill and is essential for conveying your point of being a data scientist overall. Then the article moves into analytical skills which is the core competency for a data scientist because that is in essence what they’re paid for to analyze and draw and transform their dad. Next, the article gets into coding proficiency the more advanced types of analyses are run through coding and it’s essential for implementing ideas and solutions. The article argues that without solid coding skills, data scientists May struggle to execute their analyses effectively. The article ends by saying that balancing these three is vital for a data scientist to excel in their field.
My Take
Overall I like this article’s combination of professions that one would not intuitively think are connected is very powerful. It shows different aspects of data science that I hadn’t originally considered as being so versatile and so crucial to a job that doesn’t seem like it needs it. I hope to execute this mindset in my later career to excel in the field. I also like the author’s writing style as it kept me engaged as well as hooked me on to the article throughout the entire article so that made it a very fast read. I also really did thoroughly enjoy the visuals that the author provided throughout the text which help take a break when needed and process information instead of just giving over it like a lot of articles risk doing.
Conclusion
All in all, I did like the article because of the interdisciplinary mindset towards both data science and Athletics and how one can build off the other. I do recommend that you read it and apply it to your daily life and the Articles linked here.