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Naked Statistics: Stripping the Dread from the Data 1st Edition by Charles Wheelan (Author)

Publisher: STATISTICS

Availability: In Stock
SKU: 55367
Number of Pages: 304

Rs.790.00

Rs.895.00

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Description
Reviews

Description

Naked Statistics: Stripping the Dread from the Data

1st Edition
Author: Charles Wheelan
Binding: Paperback
Paper Quality: High-quality white paper
Category: Statistics, Data Science, General Non-Fiction
Recommended For:

Beginners in statistics
Non-math majors
CSS aspirants
Data enthusiasts
Social science and business students

Key Points:

Statistics Made Simple & Fun
Charles Wheelan brilliantly explains complex statistical ideas using humor, real-life stories, and zero jargon—making the book engaging even for those with math anxiety.
Real-World Relevance
Discusses how statistics affect everyday life, from sports rankings, politics, education policies, to medical studies—in a way that’s clear and understandable.
Covers Core Concepts
Introduces fundamental ideas such as mean, median, standard deviation, correlation, probability, regression, and inference with vivid examples and analogies.
Not Just Theory
Shows how statistics can be misused or manipulated, helping readers develop critical thinking and data literacy.
Perfect for Beginners
You don’t need a math background to enjoy this book. It’s ideal for self-learners, journalists, civil service candidates, or anyone curious about data.

════ ⋆★⋆ ═══

Writer ✤ Charles Wheelan (Author)

Reviews

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from 534 reviews

Good

Amazing and helpful content with variety of analytical contents

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08/18/2025

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08/17/2025

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08/17/2025

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Highly recommended for CSS

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08/17/2025

Gender Studies For CSS by M Nawaz Khalid Aarbi - JWT

A Clear and Practical Guide to Machine Learning Basics

The Hundred-Page Machine Learning Book by Andriy Burkov provides a short but thorough introduction to the key ideas of machine learning. Burkov explains complex concepts in just 100 pages, making it easy for beginners to understand while still giving useful insights for more experienced users. The book covers important topics like supervised and unsupervised learning, neural networks, and practical advice on deploying models in real projects. It uses simple, clear language and shares expert knowledge from a well-known figure in machine learning. This book is a great resource for anyone starting with machine learning and also works as a helpful reference for professionals.

At ARCQ AI (https://arcq.ai/), where we build custom AI solutions, we find this book especially valuable for understanding the fundamentals that underpin our advanced AI projects.

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08/16/2025