Terms and definitions from all courses


Aliasing: A process that allows the user to assign an alternate name—or alias—to something Analysis of Variance (ANOVA)



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PFymNGYQQ5Cf1XbjyxwNOg fe8a91120d2244988c658b5a363087f1 Advanced-Data-Analytics-Certificate-glossary

Aliasing: A process that allows the user to assign an alternate name—or alias—to something


Analysis of Variance (ANOVA): A group of statistical techniques that test the difference of means between three or more groups


Analytics Team Manager: A data professional who supervises analytical strategy for an organization, often managing multiple groups Analyze stage: Stage of the PACE workflow where the necessary data is acquired from primary and secondary sources and then cleaned, reorganized, and analyzed ANCOVA (Analysis of Covariance): A statistical technique that tests the difference of means between three or more groups while controlling for the effects of covariates, or variable(s) irrelevant to the test
append(): A method that adds an element to the end of a list


Array: An ordered collection of items of a single data type Array(): A function for converting input to an array
Argument: Information given to a function in its parentheses
Artificial intelligence (AI): Refers to computer systems able to perform tasks that normally require human intelligence


Assignment: The process of storing a value in a variable


Attribute: A value associated with an object or class which is referenced by name using dot notation
Average: The distance between each cluster’s centroid and other clusters’ centroids


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Backward elimination: A stepwise variable selection process that begins with the full model, with all possible independent variables, and removes the independent variable that adds the least explanatory power to the model


Bagging: A technique used by certain kinds of models that use ensembles of base learners to make predictions; refers to the combination of bootstrapping and aggregating


Base learner: Each individual model that comprises an ensemble Bayes’ rule: (Refer to Bayes’ theorem)

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