Mathematische & Statistische Software
Lee / Kao
Essentials of Excel VBA, Python, and R
Essentials of Excel VBA, Python, and R
Volume II: Financial Derivatives, Risk Management and Machine Learning
2nd ed. 2023
Heumann / Schomaker / Shalabh
Introduction to Statistics and Data Analysis
Introduction to Statistics and Data Analysis
With Exercises, Solutions and Applications in R
2nd ed. 2022
Cerulli
Econometric Evaluation of Socio-Economic Programs
Econometric Evaluation of Socio-Economic Programs
Theory and Applications
2nd ed. 2022
Sarstedt / Schütz / Raithel
Eine anwendungsorientierte Einführung
3., vollständig überarbeitete Auflage
Dinov
Data Science and Predictive Analytics
Data Science and Predictive Analytics
Biomedical and Health Applications using R
2nd ed. 2023
Backhaus / Erichson / Gensler
An Application-Oriented Introduction
2nd ed. 2023
Heesen
Data Science und Statistik mit R
Data Science und Statistik mit R
Anwendungslösungen für die Praxis
Gehrke
Angewandte empirische Methoden in Finance & Accounting
Angewandte empirische Methoden in Finance & Accounting
Umsetzung mit R
2., aktualisierte und erweiterte Auflage
Heumann / Schomaker / Shalabh
Introduction to Statistics and Data Analysis
Introduction to Statistics and Data Analysis
With Exercises, Solutions and Applications in R
2nd ed. 2022
Emmert-Streib / Moutari / Dehmer
Mathematical Foundations of Data Science Using R
Mathematical Foundations of Data Science Using R
2. Auflage
Paluszek / Thomas
MATLAB Machine Learning Recipes
MATLAB Machine Learning Recipes
A Problem-Solution Approach
3rd ed.