Across
- 3. The measure of data’s fitness for use (accuracy, completeness, etc.).
- 4. Selecting a subset of data to infer about the population.
- 6. Interactive visual display of KPIs and analytics for decision makers.
- 7. Popular programming language for data manipulation and ML.
- 8. Popular centroid-based clustering algorithm.
- 9. The practice of turning data into charts and interactive graphics.
- 12. Predicting a continuous numeric outcome from variables.
- 15. Language for managing and querying relational databases.
- 17. Microsoft business intelligence and visualization platform.
- 21. Programming language focused on statistics and data analysis (R).
- 22. A flowchart-like model used for classification and regression.
- 23. Supervised and unsupervised algorithms used to build predictive models.
- 24. Analysis of variance; tests differences between group means.
- 27. Predictive task that assigns items to categorical labels.
- 28. Grouping similar observations without labeled outcomes.
- 29. Predicting future values using historical data and models.
Down
- 1. Centralized storage for integrated enterprise data used for reporting.
- 2. Leading data visualization and BI tool for dashboards.
- 5. Ensemble tree-based method for classification and regression.
- 8. Key Performance Indicator used to track business goals.
- 10. Statistical measure that shows the relationship strength between variables.
- 11. Data indexed by time used for forecasting and trend analysis.
- 13. A testable statement that analytics uses to draw conclusions.
- 14. Logistic regression; used for binary classification.
- 16. Datasets so large/complex they need special tools to process.
- 18. Business Intelligence — tools & systems for reporting and analysis.
- 19. Spreadsheet tool widely used for basic analytics and modeling
- 20. Raw facts and figures used as input for analysis.
- 25. Artificial neural network model used for complex pattern learning.
- 26. Extract, Transform, Load processes for moving data into analytic stores.