

Software for Data Analysis
1 826,-

Independent Random Sampling Methods
1 466,-

R for Stata Users
2 654,-

R for SAS and SPSS Users
1 826,-

Applied Time Series Analysis and Forecasting with Python
1 214,-

Visualization and Imputation of Missing Values
1 709,-

A First Course in Statistical Learning
971,-

Applied Statistical Learning
1 340,-

Fundamentals of Supervised Machine Learning
1 340,-

Elements of Network Science
1 214,-

Software for Data Analysis
1 826,-

Independent Random Sampling Methods
1 466,-

R for Stata Users
2 654,-

R for SAS and SPSS Users
1 826,-

Applied Time Series Analysis and Forecasting with Python
1 214,-

Visualization and Imputation of Missing Values
1 709,-

A First Course in Statistical Learning
971,-

Applied Statistical Learning
1 340,-

Fundamentals of Supervised Machine Learning
1 340,-

Elements of Network Science
1 214,-












