Quant
Definition of Quant
Quant: A quant is short for quantitative analyst.
Quant: A quant is short for quantitative analyst.
Definition of Data Engineer Data Engineer: A data engineer is a professional who creates and maintains the data pipelines that allow a company to make use of data science. Data engineers are responsible for ensuring that data is correctly collected, cleansed, and organized, so that it can be used by data scientists to glean insights…
Definition of G-Model G-Model: The G-Model is a data science model that is used to predict future events. It can be used to predict the behavior of customers, the sales of products, or the outcome of elections. What is a G-Model used for? A G-Model is a type of supervised machine learning algorithm used to…
Definition of Data Visualization Data Visualization: Data Visualization is the process of transforming data into a graphical representation that is easier to understand. This can be done in order to identify patterns, trends, and correlations that would otherwise be hidden in a table of data. What are Data Visualizations used for? Data visualizations are used…
Definition of Normal Distribution A normal distribution is a type of bell-shaped distribution in which the majority of the data falls around the mean. This distribution is often used in statistics to model real-world data.
Definition of Two-sample t-test Two-sample t-test: A two-sample t-test is a statistical hypothesis test used to determine whether the means of two samples are statistically different from each other. The test statistic is a t statistic, which is the ratio of the differences between the means of the two samples to the standard error of…
Definition of Standard Deviation Standard Deviation: Standard deviation is a measure of how spread out a set of data points are. It is calculated by taking the average of the distances of each data point from the mean, and then squaring them. This gives us a measure of how far each data point is from…