Roll no 25314

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Across
  1. 3. - of Good Analytical Questions
  2. 5. - operations in R (reading/writing, SQL in R)
  3. 11. - Analytics Applications (Marketing Analytics, HR
  4. 12. - for Analytics
  5. 14. - Data Visualization Tools
  6. 15. - Analyst vs Business Analyst
  7. 16. - / sapply / tapply functions in R
  8. 17. - Information, Knowledge (differences)
  9. 22. - for Analytics
  10. 24. - Structures in R (vectors, lists, data frames, matrices,
  11. 25. - Intelligence vs Data Science
  12. 28. Analytics)
  13. 30. - Programming Environment
  14. 31. Chain Analytics, Web & Social Media
  15. 32. - of Analytics (Descriptive, Diagnostic, Predictive,Prescriptive)
Down
  1. 1. - Control in R (loops, conditionals)
  2. 2. - Decision-Making Process
  3. 4. - of Analytics
  4. 6. - Analysis (introduction)
  5. 7. - Testing (conceptual)
  6. 8. - Visualization (concept)
  7. 9. - Quality Issues
  8. 10. - Types in R
  9. 13. - Data Analysis (EDA)
  10. 18. - Scraping basics in R
  11. 19. - of a Business Analyst
  12. 20. - of Analytics
  13. 21. - maturity stages of organizations
  14. 23. - Exploration / Data Cleaning
  15. 26. - Analytics vs Business Analysis
  16. 27. - Bar, Pie Charts, Histograms (visualization types)
  17. 29. - of Insights