# Observational Study

## Definition of Observational Study

Observational Study: Observational study is a study in which data is collected without affecting the participants.

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# Observational Study

## Definition of Observational Study

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## Similar Posts

### Data Scientist

### Upstream

### Gaussian Distribution

### XY Scatterplot

### Feature Engineering

Observational Study: Observational study is a study in which data is collected without affecting the participants.

ByDavis

Definition of Data Scientist Data Scientist: A data scientist is a professional who extracts knowledge and insights from data in order to solve problems. What does a Data Scientist do? A Data Scientist is a professional who specializes in using extensive scientific, mathematical and computer programming knowledge to extract meaningful insights from vast amounts of…

ByDavis

Definition of Upstream Upstream: Upstream and Downstream are terms used in data science to describe the flow of data or what order events occur. Data is processed and becomes more refined as it moves through the various processes. Upstream is closer to the source. When discussing a specific process step, Downstream is a term that…

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Definition of Gaussian Distribution Gaussian Distribution – A Gaussian or normal distribution is a type of probability distribution that is bell-shaped and symmetrical. This distribution is often used in statistics to model real-world data. What is a Gaussian Distribution used for? A Gaussian Distribution, more commonly known as a normal distribution or bell curve, is…

ByDavis

Definition of XY Scatterplot XY scatterplot: A XY scatterplot is a graphical representation of data in which the data points are plotted on a two-dimensional coordinate system. The data points are usually symbolized by circles, squares, or crosses, and the coordinates of each point are shown as x- and y-values.

ByDavis

Definition of Feature Engineering Feature Engineering: Feature engineering is the process of transforming raw data into a form that is more amenable to analysis or machine learning. This can involve things like aggregating data, transforming variables, or creating new features from existing variables. Feature engineering is an important part of data science, as it can…