Introduction to data science

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Across
  1. 2. The specific variables or attributes used as inputs for a model
  2. 4. Type of analytics used to forecast future trends based on history
  3. 5. Data that fits neatly into rows and columns (like SQL)
  4. 8. Drawing statistical conclusions about a whole population from a sample
  5. 9. An organized collection of structured data stored in a computer
  6. 10. A step-by-step set of rules or instructions for a computer
Down
  1. 1. Data with no pre-defined format, such as video or audio
  2. 3. The mathematical study of data collection, analysis, and interpretation
  3. 6. The technical task of removing errors or duplicates from a dataset
  4. 7. Often called "data about data"; it describes the source or format