What is a data type? In software programming, data type refers to the type of value a variable has and what type of mathematical, relational or logical operations can be applied without causing an error. For example, many programming languages use the data typestringto classify text,integerto...
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A generic data type is a type that's defined in terms of other, partially unknown types. We've been using many generic data types since the beginning of this course, for example:The Option<T> enum is generic over the type T, which is the value contained by its Some variant. The ...
Inferential analysis uses a sample of data to draw conclusions about a much larger population. This type of analysis is used when the population you're interested in analyzing is very large. Here are a few methods used when performing inferential analysis: Hypothesis testing identifies which var...
Data analytics as a practice is focused on using tools and techniques to explore and analyze data in real-time or near-real-time to uncover hidden patterns, correlations, and trends. The goal is predictive and prescriptive analysis, using advanced techniques to make accurate, dynamic, and forwar...
Value. Data has intrinsic value in business. But it’s of no use until that value is discovered. Because big data assembles both breadth and depth of insights, somewhere within all of that information lies insights that can benefit your organization. This value can be internal, such as opera...
ML.NET gives you the ability to add machine learning to .NET applications, in either online or offline scenarios. With this capability, you can make automatic predictions using the data available to your application without having to be connected to a ne
Central to REITs is that they take the quintessential example of illiquid assets—real estate—and make them liquid. REITs invest in all kinds of properties: apartment complexes, data centers, healthcare facilities, hotels, infrastructure (fiber cables, cell towers, and energy pipelines), office bu...
Quantitative — numerical — data in action Quantitative data is used when a researcher needs to quantify a problem, and answers questions like “what,”“how many,” and “how often.” This type of data is frequently used in math calculations, algorithms, or statistical analysis. ...
Value.Data has intrinsic value in business. But it’s of no use until that value is discovered. Because big data assembles both breadth and depth of insights, somewhere within all of that information lies insights that can benefit your organization. This value can be internal, such as operati...