1/11
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No analytics yet
Send a link to your students to track their progress
What is the data analytics lifecycle?
The data analytics lifecycle is a structured framework for completing data projects efficiently.
What are the 6 phases of the data analytics lifecycle?
Plan, Prepare, Analysis, Model, Regine & Compare, Communicate & Implement
What is public data?
Public data refers to information that is made available by government agencies, organizations, or other entities that can be accessed and used freely by the public without restrictions.
What is open data?
Open data is a type of public data that is not only accessible but also available in a format that allows anyone to use, create, and share it without restrictions, ideally for reuse and repurposing.
What is administrative data?
Administrative data is information collected primarily for administrative purposes, often by government entities or organizations, which can be used for research and policy analysis but was not originally intended for statistical purposes.
What is research data?
Research data is information collected and used during the course of a research project, which can include raw data, processed data, and other information derived from experiments, surveys, or observations.
What are the six principles of data quality?
Accuracy, Completeness, Uniqueness, Consistency, TImeliness, Validity.
What is K-Means Clustering, and how does it work?
An automatic way to group similar, unlabeled data into "K" number of separate piles based on how close (similiar) they are to each other.
P-value: What is it simply, and what does it tell you?
The probability that your data's results happened completely by random chance (a total fluke).
R-squared: What is it, and how do you read it?
A number from 0 to 1 (or 0% to 100%) that tells you how much of the variance in your outcome can be explained by your input variable.
Coefficient of Variation: What is it used for?
A percentage that shows how spread out your data is relative to its average. (Formula: Standard Deviation divided by the Mean).
Significance Level (Alpha / α): What is it, and who decides it?
The threshold you choose before your test to decide if your results are strong enough to be considered real.