Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Chapter01_Audience_Aims_Motivation_vignette.
Audience and aims.
Motivation.
Chapter02_Sneak_peek_vignette.
A sneak peek.
Chapter03_Why_python_vignette.
Why use python.
Python.
Update_Jupyter_notebooks.
Chapter04_Jupyter_notebook_vignette.
The Jupyter Notebook.
Installing the seaborn module.
Chapter05_A_closer_look_at_our_data_vignette.
A closer look at our dataset.
Chapter06_Spreadsheet_software_vignette.
Spreadsheet software.
Chapter07_Plotly_vignette.
Introduction to plotly.
Chapter08_Research_types_vignette.
Research_types.
Chapter09_Data_types_vignette.
Data types.
Chapter10_Pandas_vignette.
Introduction to Pandas part 1.
Introduction to Pandas part 2.
Chapter11_Measures_of_Central_tendency_and_dispersion_vignette.
Measures of central tendency and measures of dispersion.
Chapter12_Relating_probability_and_area_vignette.
The connection between probability and area.
Chapter13_The_central_limit_theorem_vignette.
The central limit theorem.
Chapter14_Z_and_t_distributions_vignette.
Z and t distributions part 1.
Z and t distributions part 2.
Chapter15_Hypotheses_vignette.
Hypotheses.
Chapter16_Confidence_intervals_vignette.
Confidence intervals.
Chapter17_Parametric_and_nonparametric_tests_vignette.
Parametric and nonparametric tests.
Chapter18_Comparing_two_means_vignette.
Comparing the means of two groups.
Chapter19_Comparing_categorical_data.
Comparing categorical data.
Chapter20_Linear_regression.
Linear regression.
Chapter21_Sensitivity_specificity_PPV_NPV_vignette.
Sensitivity Specificity PPV and NPV.
Dr Juan Klopper
Get personalized course recommendations, track subjects and courses with reminders, and more.
