Topic outline
Labs
Lab 1
Using basic Python functions for data analysis
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