![]() ![]() You will however have to master the concepts behind the computation and you’ll have to learn how to “speak” a simple programming language. This approach has advantages, I will not ask you to be a computer – you won’t have plug numbers into formulas or do anything terrible like arithmetic. This might seem like a bummer, you have to tackle two complex subjects at once. You will learn computer programming while you are learning statistics. We will learn how to apply quantitative data to real world problems and how to accurately state what the data tells us about the problem at hand. In this class we will pair your critical statistical thinking skills and your computer’s ability to crunch lots of numbers. Computers are machines and they are very good at repetitive tasks like calculating a formula but they’re not very good at thinking. These abstract concepts will be useful because they’ll help us use computers to develop solutions to real world problems. ![]() In this class you will develop a fundamental understanding of abstract statistical concepts such as uncertainty and variability. The course is taught from a computational perspective. The goal is to teach you how to think about statistical problems. Lectures aim to provide an intuitive understanding of statistical concepts. This class teaches you about patterns in data: How to conceptualize patterns and how to use computers to identify them. Statistics is the art and science of finding patterns in data. ![]()
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