Course curriculum

  • 1

    Descriptive Statistics

    • Types of Data

    • Balanced vs Imbalanced datasets

    • Various sampling techniques for handling balanced vs imbalanced datasets

    • Videos for handling imbalanced data will be provided

    • Data Sampling

    • What is Sampling Funnel, its application and its components

    • Measure of central tendency

    • Measure of Dispersion/Measures of Variability

    • Expected value of probability distribution

    • Charts
  • 2

    Inferential Statistics

    • Normal Distribution

    • QQ Plot / Quantile-Quantile plot

    • Sampling Variation

    • Central Limit Theorem

    • Sample size calculator

    • T-distribution / Student's-t distribution

    • Confidence interval

    • Population parameter - Standard deviation known

    • Population parameter - Standard deviation unknown
  • 3

    Hypothesis Testing

    • Parametric vs Non-parametric tests

    • Formulating a Hypothesis

    • Choosing Null and Alternative hypothesis

    • Type I and Type II errors

    • Comparative study of sample proportions using Hypothesis testing

    • 2 sample t test