Terms and definitions from all courses


Box plot: A data visualization that depicts the locality, spread, and skew of groups of values within quartiles Branching



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PFymNGYQQ5Cf1XbjyxwNOg fe8a91120d2244988c658b5a363087f1 Advanced-Data-Analytics-Certificate-glossary

Box plot: A data visualization that depicts the locality, spread, and skew of groups of values within quartiles


Branching: The ability of a program to alter its execution sequence


break: A keyword that lets a user escape a loop without triggering any ELSE statement that follows it in the loop


Business Intelligence Analyst: (Refer to Business Intelligence Engineer)


Business Intelligence Engineer: A data professional who uses their knowledge of business trends and databases to organize information and make it accessible; also referred to as a Business Intelligence Analyst


C


Categorical data: Data that is divided into a limited number of qualitative groups Categorical variables: Variables that contain a finite number of groups or categories Causation: Describes a cause-and-effect relationship where one variable directly causes the other to change in a particular way
Cells: The modular code input and output fields into which Jupyter Notebooks are partitioned
Central Limit Theorem: The idea that the sampling distribution of the mean approaches a normal distribution as the sample size increases
Centroid: The center of a cluster determined by the mathematical mean of all the points in that cluster
Chi-squared (χ²) Goodness of Fit Test: A hypothesis test that determines whether an observed categorical variable follows an expected distribution
Chi-squared (χ²) Test for Independence: A hypothesis test that determines whether or not two categorical variables are associated with each other
Chief Data Officer: An executive-level data professional who is responsible for the consistency, accuracy, relevancy, interpretability, and reliability of the data a team provides
Child node: A node that is pointed to from another node
Class imbalance: When a dataset has a predictor variable that contains more instances of one outcome than another

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