The Basic Math You Need to Know to Work With Data

The following is a list of basic statistic and mathematics topics you need to be proficient in for you to be good at working with data. This is by no means a comprehensive list but taking up small projects and working with these concepts is a great start for beginners.

  1. Data Summaries And Descriptive Statistics
  2. The Central Tendencies
  3. Geometric Mean and it’s Applications
  4. Weighted Mean
  5. Median and it’s Applications
  6. Mode – it’s advantages and usage
  7. Dispersion
  8. Range – Advantage and disadvantage
  9. Average absolute difference
  10. Variance and Standard Deviation
  11. The coefficient of Variance and Z Statistics
  12. Correlation
  13. Continuous vs Discrete
  14. Distribution
  15. Skewness
  16. Kurtosis
  17. Basic Idea
  18. Bayes Theorem
  19. Random Variables
  20. Central Limit Theorem
  21. Uniform
  22. Normal
  23. Binomial
  24. Poisson
  25. Hypothesis Testing
  26. Proportion Testing
  27. Type 1, Type 2 and Power
  28. Statistical Significance
  29. Z – Test
  30. Student’s T-Test
  31. F – Test
  32. Chi-Squared Test
  33. 1 Tailed and 2 Tailed Tests
  34. A/B Testing
  35. ANOVA
  36. MANOVA
  37. Scenario
  38. Monotony vs Linearity
  39. Advantages and Disadvantages of Parametric Method
  40. Sign Test
  41. Mann Whitney U Test
  42. Kruskal Wallis H Test
  43. One Sample Run Test
  44. Spearman Rank Correlation
  45. Goodness of Fit
  46. Contingency Table
  47. Simple Linear Regression
  48. Correlation
  49. Pareto Principle
  50. Comparison Analysis
  51. Trend Analysis
  52. Ranking Analysis
  53. Variance Analysis
  54. Contribution Analysis
  55. Frequency Analysis
  56. Correlation Analysis
  57. Interactive Dashboards
  58. Some important Mathematics topics.
  59. Set Theory
  60. Real and Complex Numbers
  61. Polynomial Functions
  62. Exponential Functions
  63. Logarithmic Functions
  64. Trigonometric Identities

 

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