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.

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