Hey!
My name is Alex Gong. I am currently a sophomore majoring in Applied Kinesiology. Hopefully, one day soon I will have a job as either an Athletic Trainer or Physical Therapist.
I am currently enrolled in Data 101 because in today’s world it is becoming increasingly important to be able to analyze data. Everyday an astronomical amount of data is recorded and analyzed. The correct analysis of this data allows us to make informed decisions, and take correct actions to solve problems. This makes being “data literate” a valuable skill.
For this week’s assignment, I analyzed a data set on student alcohol consumption. As expected, the data showed that students consumed more alcohol on the weekends. However, the data also showed that students that are currently in relationships are 2x more likely to consume alcohol than their single peers. It makes you wonder how much stress can that girlfriend cause! Even more surprisingly, the data showed that students who consumed more alcohol had better attendance in school, while the students that consumed less or no alcohol had more absences. Does this mean parents and schools should give their children alcohol to increase students’ attendance? Absolutely not! There could have been multiple factors that produced these results. It is important to remember correlation does not mean causation!
Analysis of data sets such as this one can result in many different conclusions. It is very important that people have the skills to be able to sift through various data and draw correct conclusions and this course will provide us with these skills.
Data source: https://www.kaggle.com/uciml/student-alcohol-consumption.