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Course Summary

“Big Data,” algorithms, and statistics are everywhere today. But how do you tell good data from bad? Misinformation from useful analysis? And who owns the information about our lives and decisions?

We will debate important social issues in the COURT OF DATA - where the only acceptable arguments will have to be based on data and data only.

Data 101 will help you improve your data literacy and develop a healthy skepticism about empirical claims presented in the popular media. We will explore examples of erroneous, rushed and ad hoc conclusions based on so-called “big data,” and you will get hands-on experience analyzing and using data to make persuasive arguments. You will also learn to make more informed decisions about what you find and share online. Along the way, you will learn fundamental concepts in statistics and probability and acquire basic programming skills that will benefit you in your future coursework and beyond.

This course is recommended for students from all schools and disciplines. (The course does require placement into Intermediate Algebra or above, or credit for 01:640:025.)
Data 101 can be used to meet the SAS Core Curriculum goals in 21st Century Challenges  [21C], Quantitative and Formal Reasoning [QQ or QR], and Information Technology and Research [ITR].

Student Alcohol Consumption by Alex Gong

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.

Welcome to the Class Blog

We are starting the Data 101 Class blog. I will repost here student's posts on most interesting data investigative work done in class and possibly presented in our COURT OF DATA or submitted directlly to me over email. This is an experiment!

Having a post in our Data 101 Class data blog will immortalize you! You can refer to your early genious work while you were still a student :-)

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