IBM SPSS Statistics 27 Step by Step : A Simple Guide and Reference
Darren George
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Interactive Web-Based Data Visualization with R, plotly, and shiny
Carson Sievert
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Reproducible Finance with R : Code Flows and Shiny Apps for Portfolio Analysis
Jr., Jonathan K. Regenstein
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Hands-On Machine Learning with R
Brad Boehmke
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The New Statistics with R : An Introduction for Biologists
Andy (Professor of Ecology, Professor of Ecology, Department o Hector
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Data Visualization : A Practical Introduction
Kieran Healy
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The Mata Book : A Book for Serious Programmers and Those Who Want to Be
William Gould
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A Visual Guide to Stata Graphics
Michael N. Mitchell
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Modern Psychometrics with R
Patrick Mair
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Multilevel Modeling Using R
W. Holmes (Ball State University, USA) Finch
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Spatio-Temporal Statistics with R
Christopher K. Wikle
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Generalized Linear Models With Examples in R
Peter K. Dunn
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Phylogenetic Comparative Methods in R
Liam J. Revell
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Outlier Analysis
Charu C. Aggarwal
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Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
Laura Igual
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Applied Statistics Using Stata : A Guide for the Social Sciences
Mehmet Mehmetoglu
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Mastering Financial Pattern Recognition
Sofien Kaabar
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Using Excel for Business and Financial Modelling : A Practical Guide
Danielle Stein Fairhurst
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Understanding Maple
Ian (University of Liverpool) Thompson
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Geocomputation with R
Robin (University of Leeds, UK) Lovelace
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Patterns, Predictions, and Actions : Foundations of Machine Learning
Moritz Hardt
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Quantitative Social Science Data with R : An Introduction
Brian J Fogarty
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A First Course in Statistical Programming with R
W. John Braun
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Statistics Using IBM SPSS : An Integrative Approach
Sharon Lawner (New York University) Weinberg
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