Skip to content

juanklopper/Python_for_Medical_Statistics

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
Chapter01_Audience_aim_motivation.html
Chapter01_Audience_aim_motivation.html
 
 
Chapter01_Audience_aim_motivation.ipynb
Chapter01_Audience_aim_motivation.ipynb
 
 
Chapter03_Why_python.html
Chapter03_Why_python.html
 
 
Chapter03_Why_python.ipynb
Chapter03_Why_python.ipynb
 
 
Chapter04_Introduction_to_the_IPython_Notebook-2.html
Chapter04_Introduction_to_the_IPython_Notebook-2.html
 
 
Chapter04_Introduction_to_the_IPython_Notebook.html
Chapter04_Introduction_to_the_IPython_Notebook.html
 
 
Chapter04_Introduction_to_the_IPython_Notebook.ipynb
Chapter04_Introduction_to_the_IPython_Notebook.ipynb
 
 
Chapter04_Introduction_to_the_IPython_Notebook.ipynbdnpp7x
Chapter04_Introduction_to_the_IPython_Notebook.ipynbdnpp7x
 
 
Chapter04_Introduction_to_the_IPython_Notebook_II.ipynb
Chapter04_Introduction_to_the_IPython_Notebook_II.ipynb
 
 
Chapter05_A_closer_look_at_our_data.html
Chapter05_A_closer_look_at_our_data.html
 
 
Chapter05_A_closer_look_at_our_data.ipynb
Chapter05_A_closer_look_at_our_data.ipynb
 
 
Chapter08_Research_types.html
Chapter08_Research_types.html
 
 
Chapter08_Research_types.ipynb
Chapter08_Research_types.ipynb
 
 
Chapter09_Data_types.html
Chapter09_Data_types.html
 
 
Chapter09_Data_types.ipynb
Chapter09_Data_types.ipynb
 
 
Chapter10_Introducing_pandas.html
Chapter10_Introducing_pandas.html
 
 
Chapter10_Introducing_pandas.ipynb
Chapter10_Introducing_pandas.ipynb
 
 
Chapter11_Measures_of_central_tendency_dispersion.html
Chapter11_Measures_of_central_tendency_dispersion.html
 
 
Chapter11_Measures_of_central_tendency_dispersion.ipynb
Chapter11_Measures_of_central_tendency_dispersion.ipynb
 
 
Chapter12_The_connection_between_probability_and_area.html
Chapter12_The_connection_between_probability_and_area.html
 
 
Chapter12_The_connection_between_probability_and_area.ipynb
Chapter12_The_connection_between_probability_and_area.ipynb
 
 
Chapter13_The_central_limit_theorem.html
Chapter13_The_central_limit_theorem.html
 
 
Chapter13_The_central_limit_theorem.ipynb
Chapter13_The_central_limit_theorem.ipynb
 
 
Chapter13_The_central_limit_theorem.ipynb3wgaui
Chapter13_The_central_limit_theorem.ipynb3wgaui
 
 
Chapter14_Z_and_t_distributions.html
Chapter14_Z_and_t_distributions.html
 
 
Chapter14_Z_and_t_distributions.ipynb
Chapter14_Z_and_t_distributions.ipynb
 
 
Chapter15_Hypotheses.html
Chapter15_Hypotheses.html
 
 
Chapter15_Hypotheses.ipynb
Chapter15_Hypotheses.ipynb
 
 
Chapter16_Confidence_intervals.html
Chapter16_Confidence_intervals.html
 
 
Chapter16_Confidence_intervals.ipynb
Chapter16_Confidence_intervals.ipynb
 
 
Chapter17_Parametric_non_tests.html
Chapter17_Parametric_non_tests.html
 
 
Chapter17_Parametric_non_tests.ipynb
Chapter17_Parametric_non_tests.ipynb
 
 
Chapter18_Comparing_means.html
Chapter18_Comparing_means.html
 
 
Chapter18_Comparing_means.ipynb
Chapter18_Comparing_means.ipynb
 
 
Chapter19_Comparing_categorical_data.html
Chapter19_Comparing_categorical_data.html
 
 
Chapter19_Comparing_categorical_data.ipynb
Chapter19_Comparing_categorical_data.ipynb
 
 
Chapter20_Linear_regression.html
Chapter20_Linear_regression.html
 
 
Chapter20_Linear_regression.ipynb
Chapter20_Linear_regression.ipynb
 
 
Chapter21_Sensitivity_specificity_risks_rates_odds.html
Chapter21_Sensitivity_specificity_risks_rates_odds.html
 
 
Chapter21_Sensitivity_specificity_risks_rates_odds.ipynb
Chapter21_Sensitivity_specificity_risks_rates_odds.ipynb
 
 
IPython_Notebook_Toolbar.png
IPython_Notebook_Toolbar.png
 
 
Launcher.png
Launcher.png
 
 
MOOC_Mock.csv
MOOC_Mock.csv
 
 
README.md
README.md
 
 
Regression.csv
Regression.csv
 
 
Toolbar.png
Toolbar.png
 
 
odds_ratio.csv
odds_ratio.csv
 
 
p_graph.png
p_graph.png
 
 
style.css
style.css
 
 
wcc_crp.xlsx
wcc_crp.xlsx
 
 

Repository files navigation

Python_for_Medical_Statistics

YouTube course using IPython and Jupyter notebooks to do statistical analysis.

About

YouTube course using IPython and Jupyter notebooks to do statistical analysis.

Resources

Readme
Activity

Stars

21 stars

Watchers

2 watching

Forks

16 forks
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

Languages