Cover Image

QR Code

SAS for R users : a book for budding data scientists

Main Author:	Ohri, Ajay
Subjects:	SAS (Computer program language) Statistics -- > Data processing R (Computer program language) Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Essential Statistics Using SAS University Edition
by: Der, Geoff

Statistical methods for mediation, confounding and moderation analysis using R and SAS
by: Yu, Qingzhao

SAS essentials : mastering SAS for data analytic
by: Elliott, Alan C

Introduction to machine learning with Python : a guide for data scientists
by: Muller, Andreas C
Published: (2017)

Quick start to data analysis with SAS
by: Dilorio, Frank
Published: (1996)

Applied statistics and the SAS programming language
by: Cody, Ronald P
Published: (2006)

Think Java : how to think like a computer scientist
by: Downey, Allen B
Published: (2020)

A programmer's guide to Java certification : a comprehensive primer
by: Mughal, Khalid Azim
Published: (2000)

Essential C++ for engineers and scientists
by: Hanly, Jeri R
Published: (2002)

Introduction to programming with C++ for engineers
by: Cyganek, Boguslaw

Guide to scientific computing in C++
by: Pitt-Francis, Joe
Published: (2017)

Java concepts
by: Horstman, Cay
Published: (2008)

Engineering problem solving with C++ : an object based approach
by: Ingber, Jeanine A
Published: (2003)

Hands-on data preprocessing in Python : learn how to effectively prepare data for successful data analytics
by: Jafari, Roy

Elementary Statistics Using SAS
by: Schlotzhauer, Sandra D

Schaum's outline of theory and problems of data structures with C++
by: Hubbard, John R
Published: (2000)

Schaum's outline of theory and problems of data structures with C++
by: Hubbard, John R
Published: (2000)

ADTs, data structures, and problem solving with C++
by: Nyhoff, Larry R
Published: (2005)

A tour of data science : learn R and Python in parallel
by: Zhang, Nailong

Building java programs : a back to basics approach
by: Reges, Stuart, R447 2018

Introduction to Python for science and engineering
by: Pine, David J

Foundations of multithreaded, parallel, and distributed programming
by: Andrews, Gregory R
Published: (2000)

Introduction to statistical data analysis with R
by: Kohl, Matthias
Published: (2015)

Building big data pipelines with Apache Beam : use a single programming model for both batch and stream data processing
by: Lukavsky, Jan

A practical introduction to data structures and algorithm analysis
by: Shaffer, Clifford A
Published: (1998)

Programming in C++ for engineering and science
by: Nyhoff, Larry R
Published: (2013)

Programming in C++ for engineering and science
by: Nyhoff, Larry R

Data structures and problem solving using Java
by: Weiss, Mark Allen
Published: (2002)

Open source software for digital forensics
Published: (2010)

Problem solving with data structures using Java : a multimedia approach
by: Guzdial, Mark
Published: (2011)

Parallel computing for data science : with examples in R, C++ and CUDA
by: Matloff, Norman
Published: (2016)

Python for finance cookbook : over 50 recipes for applying modern Python libraries to financial data analysis
by: Lewinson, Eryk

Practical data science with R
by: Zumel, Nina

Foundations of probabilistic programming

Data abstraction and problem solving with C++ : walls and mirrors
by: Carrano, Frank M
Published: (1998)

Crime by the numbers : a criminologist's guide to R
by: Kaplan, Jacob

Factor analysis and dimension reduction in R : a social scientist's toolkit
by: Garson, G. David

SAS stored processes : a practical guide to developing web applications
by: Mason, Philip

Mathematical statistics with applications in R
by: Ramachandran, Kandethody M

Creating procedural artworks with processing : a holistic guide : a holistic guide : by Penny de Byl.
by: De Byl, Penny