Data Science with Python (level 3) Course Information Categories: python Before starting this course you must complete the required prerequisite course: DATA ANALYSIS IN PYTHON (level 2) Exclusively Discounted KSh2,999.00 3 months of access Probability & Statistics Simulating Random Variables Expected Values Some Important Distributions Descriptive statistics Univariate descriptive statistics Covariance Correlation Linear regression Plotting and Visualization Figures and Subplots Colors, Markers, and Line Styles Ticks, Labels, and Legends Annotations and Drawing on a Subplot Saving Plots to File Line Plots Bar Plots Histograms and Density Plots Scatter Plots Hypothesis Tests Introduction Goodness of Fit Tests 1-sample t-test: testing the value of a population mean 2-sample t-test: testing for difference across populations Paired tests: repeated measurements on the same individuals Test of Nomality
