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5.0
48 reviewsIntroduction to Statistics with the Wolfram Language applies the extensive computational power of the Wolfram Language to the field of statistics. Starting from the basics and working through a range of foundational concepts, Klopper shows just how accessible computational statistics can
be given the appropriate tool set. Topics include descriptive statistics, distributions, hypothesis testing, parametric testing, correlation and much more. Follow along as Klopper offers step-by-step instructions and relevant exercises from the field of medical statistics designed to teach readers how to understand and present data in today's increasingly data-driven world.
The Wolfram Language represents a major advance in programming languages that makes leading edge computation accessible to everyone. Unique in its approach of having vast built-in knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. wolfram.com/language
Explore the author's Wolfram Notebooks and look for updates in Coursera and Wolfram U for use with this book! wolfr.am/klopper
Wolfram Notebooks are viewable for free with Wolfram Player. wolfram.com/player
About the Author
Dr. Juan Klopper is a surgeon in academic practice at Groote Schuur Hospital in Cape Town, South Africa. Within this role, he works to develop educational resources and improve health care using data science and mathematics. Mathematica and the Wolfram Language are prominent among the tools that he has found useful in these pursuits. Dr. Klopper is also the Head of Postgraduate Surgical Research and the Head of Surgical Education at the University of Cape Town.
From the Introduction
"This text will teach you a practical, useful, and modern approach to analyzing data. In this first chapter, I will aim to give a quick and useful overview of doing data analysis using the Wolfram Language. With today's modern computational tools, statistics and data analysi
