Title: Quick Guide to IBM® SPSS®: Statistical Analysis With Step-by-Step Examples, Author: Alan C. Elliott
Title: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365), Author: Wayne Winston
Title: Schaum's Outline of Mathematica, Third Edition, Author: Eugene Don
Title: The Data Detective's Toolkit: Cutting-Edge Techniques and SAS Macros to Clean, Prepare, and Manage Data, Author: Kim Chantala
Title: A Tool Kit for Quantitative Data Analysis: Using SPSS, Author: Sotirios Sarantakos
Title: The Art of Machine Learning: A Hands-On Guide to Machine Learning with R, Author: Norman Matloff
Title: A Guide to Microsoft Excel 2007 for Scientists and Engineers, Author: Bernard Liengme
Title: A Crash Course in Mathematica, Author: Stephan Kaufmann
Title: Circular Statistics in R, Author: Arthur Pewsey
Title: Statistics for Scientists: A Concise Guide for Data-driven Research, Author: Umberto Michelucci
Title: Operations Research for Social Good: A Practitioner's Introduction Using SAS and Python, Author: Natalia Summerville
Title: Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists, Author: Philipp K. Janert
Title: Deep Learning and the Game of Go, Author: Kevin Ferguson
Title: Analyzing Data with Power BI and Power Pivot for Excel, Author: Alberto Ferrari
Title: R for the Rest of Us: A Statistics-Free Introduction, Author: David  Keyes
Title: Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization, Author: Randall S. Collica
Title: Statistics with Rust: 50+ Statistical Techniques Put into Action, Author: Keiko Nakamura
Title: Analyzing Business Data with Excel: Forecasting, Statistics, and Data Management, Author: Gerald Knight
Title: Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis, Author: Maurits Kaptein
Title: JMP for Mixed Models, Author: Ruth Hummel

Pagination Links