Course curriculum

  • 1

    Unit 1: Data

    • Data

  • 2

    Unit 2: Descriptive Statistics

    • Descriptive Statistics

  • 3

    Unit 3: Data Visualization

    • Data Visualization

  • 4

    Unit 4: Tableau

    • Tableau

  • 5

    Unit 5: Probability Distributions

    • Probability Distributions

  • 6

    Unit 6: Sampling

    • Sampling

  • 7

    Unit 7: Hypothesis Testing

    • Hypothesis Testing

  • 8

    Unit 8: Non Parametric Hypothesis Testing

    • Non Parametric Hypothesis Testing

  • 9

    Unit 9: A/B Testing

    • A/B Testing

  • 10

    Unit 10: Confidence Interval Estimation

    • Confidence Interval Estimation

  • 11

    Unit 11: Simple Linear Regression

    • Simple Linear Regression

  • 12

    Unit 12: Multiple Regression

    • Multiple Regression

  • 13

    Unit 13: Data Mining

    • Data Mining

  • 14

    Unit 14 A: Classification

    • Classification

  • 15

    Unit 14 B: Classification

    • Classification

  • 16

    Unit 15 A: Clustering

    • Clustering

  • 17

    Unit 15 B: Clustering

    • Clustering

  • 18

    Unit 16: Co-Occurrence

    • Co-Occurrence

  • 19

    Unit 17: Big Data

    • Big Data

  • 20

    Unit 18: Database Technology

    • Database Technology

  • 21

    Unit 19: SQL

    • SQL

  • 22

    Unit 20: Programming in r

    • Programming in r