Statistics - Data processing.

Data analysis and graphics using R :an example-based approach / by: (Language materials, printed)

SAS/GRAPH user's guide / by: (Language materials, printed)

Minitab handbook / by: (Language materials, printed)

Introduction to business statistics :a Microsoft Excel, integrated approach / by: (Language materials, printed)

Numerical issues in statistical computing for the social scientist / by: (Electronic resources)

Elements of computational statistics / by: (Language materials, printed)

An introduction to R :notes on R: a programming environment for data analysis and graphics, version 1.4.1 / by: (Language materials, printed)

SAS guide to the SQL procedure :usage and reference :version 6. by: (Language materials, printed)

Programming with data :a guide to the S language / by: (Language materials, printed)

The R reference manual :base package / by: (Language materials, printed)

SAS programming by example / by: (Language materials, printed)

Learning, networks and statistics / by: (Language materials, printed)

Statistical analysis and data display :an intermediate course with examples in S-plus, R, and SAS / by: (Language materials, printed)

Developing statistical software in Fortran 95 / by: (Language materials, printed)

A gentle introduction to Stata / by: (Language materials, printed)

Data Manipulation with R by: (Electronic resources)

A first course in statistical programming with R / by: (Language materials, printed)

Introductory statistics with R by: (Language materials, printed)

C++ programming with applications in administration, finance, and statistics / by: (Language materials, printed)

Data analysis using stata / by: (Language materials, printed)

The workflow of data analysis using Stata / by: (Language materials, printed)

Computational methods in statistics and econometrics / by: (Language materials, printed)

Using R for introductory statistics / by: (Language materials, printed)

Elements of computational statistics by: (Electronic resources)

Introductory statistics with R by: (Electronic resources)

R for Stata users by: (Electronic resources)

Probability and statistics with R / by: (Language materials, printed)

Statistics from data to decision / by: (Language materials, printed)

Statistical analysis of clinical data on a pocket calculatorstatistics on a pocket calculator / by: (Electronic resources)

Symmetry studiesan introduction to the analysis of structured data in applications / by: (Electronic resources)

Data analysis and graphics using R :an example-based approach / by: (Language materials, printed)

Behavioral research data analysis with R by: (Electronic resources)

The stata survival manual by: (Electronic resources)

Beginning Ran introduction to statistical programming / by: (Electronic resources)

Foundations of statistical algorithms :with reference to R packages / by: (Language materials, printed)

Using R for statistics by: (Electronic resources)

Beginning data science with R by: (Electronic resources)

Data scientists at work by: (Electronic resources)

The art of R programming :a tour of statistical software design / by: (Language materials, printed)

Data science in R :a case studies approach to computational reasoning and problem solving / by: (Language materials, printed)

Design and analysis of experiments with R / by: (Language materials, printed)

Using R for introductory statistics / by: (Language materials, printed)

R cookbook / by: (Language materials, printed)

Beginning Ran introduction to statistical programming / by: (Electronic resources)

Statistical analysis and data displayan intermediate course with examples in R / by: (Electronic resources)

SPSS for starters and 2nd levelers by: (Electronic resources)

Statistical analysis and data display :an intermediate course with examples in R / by: (Language materials, printed)

Python for probability, statistics, and machine learning by: (Electronic resources)

Beginning R :an introduction to statistical programming / by: (Language materials, printed)

Using R and RStudio for data management, statistical analysis, and graphics by: (Electronic resources)

Introduction to business statistics :a computer integrated approach / by: (Language materials, printed)

Stata 8. by: (Language materials, printed)

Panel data analysis using EViews by: (Electronic resources)

Advanced statistics with applications in R / by: (Language materials, printed)

Introduction to data science :data analysis and prediction algorithms with R / by: (Language materials, printed)

Statistical analysis with R / by: (Language materials, printed)

Principles of data science by: (Electronic resources)

Fundamentals of data analyticswith a view to machine learning / by: (Electronic resources)

Applications in statistical computingfrom music data analysis to industrial quality improvement / by: (Electronic resources)

Beginning R 4from beginner to pro / by: (Electronic resources)

A Python data analyst's toolkit :learn Python and Python-based libraries with applications in data analysis and statistics / by: (Language materials, printed)

R companion to elementary applied statistics / by: (Language materials, printed)

Basic statistics with R :reaching decisions with data / by: (Language materials, printed)

A Python data analyst's toolkitlearn Python and Python-based libraries with applications in data analysis and statistics / by: (Electronic resources)

Leadership in statistics and data scienceplanning for inclusive excellence / by: (Electronic resources)

Open source software for statistical analysis of big dataemerging research and opportunities / by: (Electronic resources)

The data bookcollection and management of research data / by: (Electronic resources)

SAS for R usersa book for budding data scientists / by: (Electronic resources)

Statistics with Juliafundamentals for data science, machine learning and artificial intelligence / by: (Electronic resources)

Angular statistics / by: (Language materials, printed)

Analysis of distributional data / by: (Language materials, printed)

Data analytics and AI by: (Electronic resources)

Basic statistics with Rreaching decisions with data / by: (Electronic resources)

Beginning data science in R 4data analysis, visualization, and modelling for the data scientist / by: (Electronic resources)

Modern statisticsa computer-based approach with Python / by: (Electronic resources)

R 4 data science quick referencea pocket guide to APIs, libraries, and packages / by: (Electronic resources)

Python for probability, statistics, and machine learning / by: (Language materials, printed)

Computational statistics in data science / by: (Language materials, printed)

Practical statistics for data scientists :50+ essential concepts using R and Python / by: (Language materials, printed)

Introductory applied statisticswith resampling methods & R / by: (Electronic resources)

Statistics applied with Exceldata analysis is (not) an art / by: (Electronic resources)

Introductory statistical procedures with SPSS by: (Electronic resources)

Introduction to statistics in human performanceusing SPSS and R / by: (Electronic resources)

Computational statistics and applications / by: (Language materials, printed)

Introduction to statistics using R / by: (Language materials, printed)

Foundations of data science with Python / by: (Language materials, printed)