We live in a world of big data, and someone needs to make sense of all this data. In this course, you will learn to efficiently analyze data, formulate hypotheses, and generally reason about what the ocean of data out there is telling you.
We live in a world of big data: huge amounts of data generated by social networks, governments, consumers and markets. Someone needs to make sense of all this data. In this course, Statistics Foundations: Understanding Probability and Distributions, you will learn the fundamental topics essential for understanding probability and statistics. First, you will have an introduction to set theory, a non-rigorous introduction to probability, an overview of key terms and concepts of statistical research. Then, you will discover different statistical distributions, discrete and continuous random variables, probability density functions, and moment generating functions. Finally, you will use key distribution measures such as mean and variance, and explore topics of covariance and correlation. By the end of this course, you’ll be able to look at data and reason about it in terms of its descriptive statistics and possible distributions.
Course Overview Hi, everyone. My name is Dmitri Nesteruk, and welcome to my course on Statistics Foundations: Understanding Probability and Distributions. I am a quantitative analyst and software developer and have spent over a decade applying some of the skills presented in this course to analyze the financial markets, so I'm very happy to take you on this journey into the world of statistics. Now we live in a world of big data, huge amounts of data generated by social networks and governments and consumers and markets, and all of this data needs someone to analyze it, which is why the profession of a data scientist becomes more and more popular nowadays. Someone needs to make sense of all of this data. In this course, we're going to cover all of the fundamentals that you need to understand in order to be able to efficiently analyze data, formulate hypotheses, and generally reason about what the ocean of data that's out there is actually telling you. Some of the major topics that we're going to cover in this course include the following: We're going to talk about the notion of probability, of course. We're going to take a look at random variables. We'll discuss statistical distributions, the idea of expectation, as well as things like covariance and correlation. By the end of this course, you will be able to look at data and reason about it in terms of its descriptive statistics and possible distributions. Before beginning this course, you should be familiar with mathematics at a school level. You should also be familiar with the R statistical environment. I hope you will join me on this journey to learn statistics with the Statistics Foundations course, here at Pluralsight.