Схема розділу

    • Lab 1

    • Using basic Python functions for data analysis

    • Result example
      Знімок екрана з 2023-09-08 16-11-26.png
    • Lab 2

    • Using Histograms and PMFs to visualize data distribution
    • Lab 3

    • Using Percentiles and Cumulative distribution functions to visualize data distribution
    • Lab 4

    • Modelling distributions to fit real data
    • Lab 5

    • Probability density function and other parameters
    • Lab 6

    • Finding the relationships between variables
    • Lab 7

    • Testing the normal distribution hypothesis
    • Lab 8

    • Testing the hypothesis using Pearson criteria
    • Structure of the final grade is the following:
      Labs - 40%
      Course paper - 40%
      Test - 20%

      Student receives final grade in case he/she submitted all labs, course paper and passed test.