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4. Programming language focused on statistics and data analysis (R).
5. Language for managing and querying relational databases.
6. Predicting future values using historical data and models.
7. Business Intelligence — tools & systems for reporting and analysis.
10. Grouping similar observations without labeled outcomes.
12. Popular programming language for data manipulation and ML.
13. Statistical measure that shows the relationship strength between variables.
14. Spreadsheet tool widely used for basic analytics and modeling
17. Popular centroid-based clustering algorithm.
20. Ensemble tree-based method for classification and regression.
24. Predicting a continuous numeric outcome from variables.
25. Logistic regression; used for binary classification.
27. The measure of data’s fitness for use (accuracy, completeness, etc.).
29. Artificial neural network model used for complex pattern learning.
30. The practice of turning data into charts and interactive graphics.

1. Supervised and unsupervised algorithms used to build predictive models.
2. Predictive task that assigns items to categorical labels.
3. Datasets so large/complex they need special tools to process.
8. Microsoft business intelligence and visualization platform.
9. A testable statement that analytics uses to draw conclusions.
11. Data indexed by time used for forecasting and trend analysis.
15. Raw facts and figures used as input for analysis.
16. Centralized storage for integrated enterprise data used for reporting.
18. A flowchart-like model used for classification and regression.
19. Extract, Transform, Load processes for moving data into analytic stores.
21. Interactive visual display of KPIs and analytics for decision makers.
22. Key Performance Indicator used to track business goals.
23. Analysis of variance; tests differences between group means.
26. Leading data visualization and BI tool for dashboards.
28. Selecting a subset of data to infer about the population.