UT.7.01x: Foundations of Data Analysis

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UT.7.01x: Foundations of Data Analysis

Course Details

Cost

FREE

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  • TBA

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
17022 reviews

Course Description

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 ... 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?
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