R Programming , Logistic and Linear regression, Integrals - Udemy

In this class, we cover the following :

• Fundamentals of R

Assignment and Arithmetic with R

Vectors, list and matrix

loops (for, if ,if else, while, repeat )

functions 

• Some nice Plots for data visualization (outlier detection, correlation coefficients )
• How to detect and eliminate outliers and missing values from the data 
• How to use the mallows'CP to select the best subset of parameters for the linear regression model 

• logistic and linear regression  models 

How to use the mallows'CP to select the best subset of parameters for the linear regression model 

confidence intervals of parameters 

model performance , prediction and interpretation du result 

• Integral approximation 

By the end of this course , you will be able to effectively code in R. You will be able to summarize your data , visualize your data , detect and eliminate outliers and missing values  form your data ,construct and interpret a logistic or linear regression model using the best subset of parameters,  predict , approximate complex integral and more .