分析世界的数据。This is a hands on course with a data lab to teach fundamental statistical topics such as descriptive statistics, inferential testing, and modeling.
In a world that’s full of data, we have many questions: How long do animals in a shelter have to wait until they are adopted? Can we model the growth of internet usage in a country? Do films with a more adult rating make more money that other rated films?
Luckily, the world is also full of data to help us answer those questions. This course will walk through the basics of statistical thinking – starting with an interesting question. Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs. Finally, we’ll learn how to interpret our findings and develop a meaningful conclusion.
This course will consist of instructional videos for statistical concepts broken down into manageable chunks – each followed by some guided questions to help your understanding of the topic. Most weeks, the instructional section will be followed by tutorial videos for using R, which we’ll then apply to a hands-on Lab where we will answer a specific question using real-world datasets.
We’ll cover basic Descriptive Statistics in our first “Unit” – learning about visualizing and summarizing data. Unit two will be a “modeling” investigation where we’ll learn about linear, exponential, and logistic functions. We’ll learn how to interpret and use those functions with a little bit of Pre-Calculus (but we’ll keep it very basic). Finally in the third Unit, we’ll learn about Inferential statistical tests such as the t-test, ANOVA, and chi-square.
This course is intended to have the same “punch” as a typical introductory undergraduate statistics course, with an added twist of modeling. This course is also intentionally devised to be sequential, with each new piece building on the previous topics. Once completed, students should feel comfortable using basic statistical techniques to answer their own questions about their own data, using a widely available statistical software package (R).
I hope you’ll join me in learning how to look at the world around us – what are the questions? How can we answer them? And what do those answers tell us about the world we live in?
Michael J. Mahometa
Michael J. Mahometa, Ph.D. – Lecturer and Senior Statistical Consultant for The University of Texas at Austin’s Department of Statistics and Data Sciences.
Michael received his Ph.D. in Psychology from The University of Texas at Austin in 2006. His major course work was completed in Behavioral Neuroscience, with a minor in Statistics. It was during that time he realized he had a love of answering questions using the statistical techniques he was learning. He also realized that he very much enjoyed teaching. After graduating he quickly turned his passion for both teaching and statistics into a position as a Statistical Consultant for The University of Texas. Since that time he’s helped develop new statistics courses to take advantage of new teaching techniques, he’s helped graduate students with their research questions, and he’s helped undergraduate students learn this amazing tool called data analysis.