Statistics : Practical Concept of Statistics for Data Scientists

Statistics are not a tool but rather a set of techniques that you have access to that will help you analyze a set of data that you either generate, receive, or give. Statistics are absolutely vital for those attempting to study Big Data because it allows the scientists studying the data to make sense of the information when the information is on such a large and global scale. Unlike local neighborhood statistics or marketing statistics, big data encompasses a huge range of information and often this big data will be populated by thousands if not millions of data points. Statistics help you break down these data points so that you can reasonably understand them and work with the data that comes into you.

Here's What's Included In This Book

Basics of StatisticsExploratory Data AnalysisDifferent Sampling MethodsDifferent Types of Structured DataRun Charts and Statistical Process ControlVariation AnalysisPractical Application of Statistics

Tietoa kirjasta

Statistics are not a tool but rather a set of techniques that you have access to that will help you analyze a set of data that you either generate, receive, or give. Statistics are absolutely vital for those attempting to study Big Data because it allows the scientists studying the data to make sense of the information when the information is on such a large and global scale. Unlike local neighborhood statistics or marketing statistics, big data encompasses a huge range of information and often this big data will be populated by thousands if not millions of data points. Statistics help you break down these data points so that you can reasonably understand them and work with the data that comes into you.

Here's What's Included In This Book

Basics of StatisticsExploratory Data AnalysisDifferent Sampling MethodsDifferent Types of Structured DataRun Charts and Statistical Process ControlVariation AnalysisPractical Application of Statistics

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