Course 5 : Chi square tests with Python
Lecture 5 : Lecture5.pdf. Notebook of Lecture 5 : LecturePS5.ipynb .
Course 4 : Two Sample Testing with Python
Lecture 4 : Lecture4.pdf. Notebook of Lecture 4 : Parametric and non parametric tests : LecturePS4.ipynb, LecturePS4b.ipynb.
Practical Session 4 : PracticalSession4.pdf. Datasets : Iris_Data.csv and blood_pressure.csv
Course 3 : Hypothesis testing with Python
Lecture 3 : Lecture3.pdf
Notebook of Lecture 3 : Lecture3.ipynb
Practical Session 3 : Lab3.pdf
Course 2 : Confidence intervals with Python
Lecture 2 : Lecture2.pdf.
Notebook of Lecture 2 : LecturePS2.ipynb .
Dataset Heart : heart.csv
Practical Session 2 : Lab2_empty.ipynb
About confidence intervals with Python
Course 1 : Exploratory Data Analysis
Lecture 1 : Lecture1.pdf
Notebooks : LecturePS1a.ipynb, LecturePS1b.ipynb
Practical Session 1 .pdf. Strikes dataset : strikes.csv. Titanic dataset : titanic.csv
Introduction to the Pandas library : IntroductionPandas.ipynb. The dataset president_heights.csv
Complements to Pandas : Complements.ipynb. Datasets cereal.csv
Tutorial on Seaborn : Seaborn.ipynb. Iris dataset : iris.csv
Exploratory Data Analysis : EDA1.pdf. Data : Ames.csv. Notebook : EDA.ipynb