Course on Statistics for Data Science

  • Types of data
  •  
  • Levels of measurement

Categorical variables: Visualization

Continous Variables: Visualization

Histogram charts

Descriptive Statistics

Measure of Central Tendencies

Mean Median Mode

Measure of Dispersion

Range, Variance, Standard deviation

Standard deviation and co-efficient of variation

Measures of asymmetry

Skewness and Kurtosis

Determining relationship between two variables

Cross Tabulation

Scatter plot

Correlation

Distributions

The normal distribution

Central Limit thoerem

Standard error

Hypothesis testing and linear regression

Alternate and Null Hypothesis

Rejection of Null Hypothesis and significance level

Type 1 and Type 2 Error

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