This in an excerpt from this book
Here you are going to get an overview of the field of big data, with a focus on the statistical methods used. It also provides a look at several key applications of big data. Big data is a broad topic; it includes quantitative subjects such as math, statistics, computer science, and data science. Big data also covers many applications, such as weather forecasting, financial modeling, political polling methods, and so forth.
The intentions behind this project is specifically included in the following: Provide an overview of the field of big data. Introduce many useful applications of big data. Show how data may be organized and checked for bad or missing information. Show how to handle outliers in a dataset. Explain how to identify assumptions that are made when analyzing data. Provide a detailed explanation of how data may be analyzed with graphical techniques. Cover several key univariate (involving only one variable) statistical techniques for analyzing data.
Explain widely used multivariate (involving more than one variable) statistical techniques. Provide an overview of modeling techniques such as regression analysis. Explain the techniques that are commonly used to analyze time series data. Cover techniques used to forecast the future values of a dataset. Provide a brief overview of software packages and how they can be used to analyze statistical data. Because this is focussed to people who has little or no idea about Statistics in general, the chapters are written so you can pick and choose whichever topics that interest you the most and dive right in.
There’s no need to read the chapters in sequential order, although you certainly could. We do suggest, though, that you make sure you’re comfortable with the ideas developed in here before proceeding to the later chapters here. Each chapter also contains several tips, reminders, and other tidbits, and in several cases there are links to websites you can use to further pursue the subject. There’s also an online Cheat Sheet that includes a summary of key equations for ease of reference. As mentioned, this is a big topic and a fairly new field.
Every day, what has come to be known as big data is making its influence felt in our lives. Some of the most useful innovations of the past 20 years have been made possible by the advent of massive data-gathering capabilities combined with rapidly improving computer technology. For example, of course, we have become accustomed to finding almost any information we need through the Internet. You can locate nearly anything under the sun immediately by using a search engine such as Google or DuckDuckGo.
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