Statistical Software.

Statistics applied with the R Commander = data analysis is (not) an art / by: (Language materials, printed)

Classification and data science in the digital age by: (Language materials, printed)

Predictive analytics with KNIME = analytics for citizen data scientists / by: (Language materials, printed)

Fundamentals of supervised machine learning = with applications in Python, R, and Stata / by: (Language materials, printed)

Partial least squares path modeling = basic concepts, methodological issues and applications / by: (Language materials, printed)

Introduction to statistics and data analysis = with exercises, solutions and applications in R / by: (Language materials, printed)

R 4 Quick Syntax Reference = A Pocket Guide to the Language, API's and Library / by: (Language materials, printed)

An Introduction to Statistics with Python = With Applications in the Life Sciences / by: (Language materials, printed)

Applied Time Series Analysis and Forecasting with Python by: (Language materials, printed)

Time Series Analysis.

Machine learning.

Quantitative research.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Time-series analysis.

Artificial intelligence—Data processing.

Biometry.

R (Computer program language)

Multivariate Analysis.

Statistics—Computer programs.

Statistical Learning.

Statistics.

Supervised learning (Machine learning)

Compilers (Computer programs).

Macroeconomics.

Statistical Software.

Python.

Mathematical statistics—Data processing.

Least squares.

Big data

Programming Language.

Statistics and Computing.

Computer Science.

Compilers and Interpreters.

Python (Computer program language).

Statistics .

Data Science.

Classification

Data Analysis and Big Data.

Econometrics.

Biostatistics.

Statistics in Business, Management, Economics, Finance, Insurance.

Machine Learning.

Predictive analytics

Predictive analytics.

Computer science.

Applied Statistics.

Programming languages (Electronic computers).

Statistical Theory and Methods.

Data Mining and Knowledge Discovery.