using r for data analysis

Ai-Assisted Writing and Presenting in English - (English for Academic Research) by Adrian Wallwork (Paperback)

Data Wrangling with SQL - by Raghav Kandarpa & Shivangi Saxena (Paperback)

In-Memory Analytics with Apache Arrow - Second Edition - 2nd Edition by Matthew Topol (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

Mastering Shiny - by Hadley Wickham (Paperback)

TI-83 Plus Graphing Calculator for Dummies - by C C Edwards (Paperback)

SQL for Data Scientists - by Renee M P Teate (Paperback)

Statistics for Big Data for Dummies - (For Dummies) by Alan Anderson (Paperback)

Data Analytics & Visualization All-In-One for Dummies - (Paperback)

Rapid Problem Solving with Post-It Notes - by David Straker (Paperback)

A Simple Guide to Retrieval Augmented Generation - by Abhinav Kimothi (Paperback)

In Support of Student Data - by Kristan Rodriguez (Paperback)

Elements of Data Science - by Allen B Downey (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

The Real Analysis Lifesaver - (Princeton Lifesaver Study Guides) by Raffi Grinberg (Paperback)

Machine Learning Pocket Reference - by Matt Harrison (Paperback)

Time Series Analysis with Python Cookbook - Second Edition - 2nd Edition by Tarek A Atwan (Paperback)

Making Data Visual - by Danyel Fisher & Miriah Meyer (Paperback)

Foundations of Data Intensive Applications - by Supun Kamburugamuve (Paperback)

Russian-English Dictionary of Statistical Terms and Expressions - (Monograph Probability and Statistics) by Samuel Kotz & Wassily Hoeffding

Analysis with Mathematica(r) - (De Gruyter Textbook) 2nd Edition by Galina Filipuk & Andrzej Kozlowski (Paperback)

Getting Started with DuckDB - by Simon Aubury & Ned Letcher (Paperback)

Understand Mathematics, Understand Computing - by Arnold L Rosenberg & Denis Trystram (Paperback)

Advances in Multidisciplinary Retrieval - by Hamish Cunningham & Allan Hanbury & Stefan Rüger (Paperback)