Data Analysis Soccer

506 Words2 Pages

Statistics is the universal language behind data-enabled decision making and is widely used in our daily lives. Statistical analyses’ applications range from Google’s development choices to political parties’ campaign strategies. With the emergence of Data Science, Sports Analytics has also become an important industry. Today, almost all professional sports organizations are using data analytics to guide decision making on everything from player selection to marketing technique. As a result, there is a growing need for effective data analysis in many sports, especially in soccer. Although other sports such as basketball and baseball incorporate points, individual statistics are almost non-existent in soccer since there are no high scores or other obvious parameters. This makes soccer difficult to analyze. Because of its nature, soccer has limited applications of …show more content…

I am very excited to get involved in this pioneer organization as an undergraduate summer intern.

My objective in this position will be to develop the knowledge, skills and perspectives necessary to analyze data in order to answer sports analytics questions. To do so, I will work closely with Henry S. Harrison ’09, the Chief Technology Officer of Optima, on exclusive datasets, and learn advanced statistical and programming techniques. Statistical computing will be the essential part of this special learning opportunity. By the end of this internship, I will learn fundamental concepts such as data cleaning, data manipulation, databases, graphics, functions and simulation through working with various software. This includes any and all processes associated with acquiring, verifying and storing data in an efficient manner. I will get exposed to the practices of statistical investigation, and learn about visualization and interactive

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