Statistics For Absolute Beginners

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Statistics For Absolute Beginners Second Edition

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Author : Oliver Theobald
language : en
Publisher:
Release Date : 2020-06-18

Statistics For Absolute Beginners Second Edition written by Oliver Theobald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with categories.

Data is collected constantly: how far we travel, who we interact with online and where we spend our money. Every bit of data has a story to tell but isolated, these morsels of information lie dormant and useless, like unattached Lego blocks. Written by the author of Amazon Best Seller Machine Learning for Absolute Beginners, this book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations. As a resource for beginners, this book won't teach you how to beat the market or predict the next U.S. election but ensures a concise and simple-to-understand supplement to a standard textbook. This includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, linear regression analysis, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. Full Overview of Book Themes Historical Development of Statistics Data Sampling Central Tendency Measures Measures Of Spread Measures Of Position Designing Hypothesis Tests Probability & Bayes Theory Regression Analysis Clustering Analysis As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time.

Statistics For Absolute Beginners

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Author : O.Theobald
language : en
Publisher: Independently Published
Release Date : 2017-09-28

Statistics For Absolute Beginners written by O.Theobald and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with categories.

As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time. Written by the author of the popular learning resource "Machine Learning for Absolute Beginners," this book will guide you through important techniques in inferential statistics. This includes linear regression, standard deviation, probability, hypothesis testing, and clustering analysis, to prepare you for further study in the field of statistics, applied research or data science. Topics covered in this book: Sampling & PermutationsCentral Tendency MeasuresMeasures of SpreadMeasures of PositionHypothesis TestingProbabilityBinomial ProbabilityRegression AnalysisClustering Analysis Please feel welcome to join this hands-on introductory course by buying a copy, or sending a free sample to your preferred device.

Statistics For Absolute Beginners

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Author : Oliver Theobald
language : en
Publisher:
Release Date : 2019

Statistics For Absolute Beginners written by Oliver Theobald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Statistics categories.

Data is collected constantly - who we frequently interact with online, where we go, and how we spend our money - and every tiny bit of data has a story to tell. New fields of data analysis, including machine learning and data mining, provide powerful tools to unlock patterns and hidden insights from the data that we're creating in troves each day. But behind new techniques to analyze data remains a tried and tested way of looking for insight - one that long predates microchips and computers. In this absolute beginner's introduction, you will learn important techniques in statistics, including linear regression, standard deviation, probability, hypothesis testing, and clustering analysis, to prepare you for further study in the field of statistics or data science.

Statistics For Absolute Beginners

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Author : Gia Knight
language : en
Publisher:
Release Date : 2023-05-08

Statistics For Absolute Beginners written by Gia Knight and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-08 with categories.

Data is collected constantly: how far we travel, who we interact with online and where we spend our money. Every bit of data has a story to tell but isolated, these specs of information lie dormant and useless. Written by the author of Amazon Best Seller Machine Learning for Absolute Beginners, this book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations. As a resource for beginners, this book won't teach you how to beat the market or predict the next U.S. election but ensures a concise and simple-to-understand supplement to a standard textbook. This includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, linear regression analysis, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. Full Overview of Book Themes - Historical Development of Statistics - Data Sampling - Central Tendency Measures - Measures Of Spread - Measures Of Position - Designing Hypothesis Tests - Probability & Bayes Theory - Regression Analysis - Clustering Analysis As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time.

Statistics For Absolute Beginners

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Author : O.Theobald
language : en
Publisher:
Release Date : 2020-02-25

Statistics For Absolute Beginners written by O.Theobald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-25 with categories.

Data is collected constantly: how far we travel, who we interact with online and where we spend our money. Every bit of data has a story to tell but isolated, these morsels of information lie dormant and useless, like unattached Lego blocks. Written by the author of Amazon Best Seller Machine Learning for Absolute Beginners, this book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations. As a resource for beginners, this book won't teach you how to beat the market or predict the next U.S. election but ensures a concise and simple-to-understand supplement to a standard textbook. This includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, linear regression analysis, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. Full Overview of Book Themes Historical Development of Statistics Data Sampling Central Tendency Measures Measures Of Spread Measures Of Position Designing Hypothesis Tests Probability & Bayes Theory Regression Analysis Clustering Analysis As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time.

A Handbook Of Statistics Fundamentals

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Author : N.B. Singh
language : en
Publisher: N.B. Singh
Release Date :

A Handbook Of Statistics Fundamentals written by N.B. Singh and has been published by N.B. Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.

"A Handbook of Statistics Fundamentals" is a comprehensive guide designed for absolute beginners seeking to navigate the intricate landscape of statistics with ease and confidence. This accessible handbook provides a clear and concise introduction to fundamental statistical concepts, from basic principles to advanced techniques, catering to learners of all backgrounds. With an emphasis on simplicity and clarity, the book covers essential topics such as descriptive statistics, probability theory, hypothesis testing, regression analysis, and more, presenting complex ideas in an understandable and engaging manner. Whether you're a student embarking on your statistical journey or a professional looking to refresh your understanding, this book equips you with the knowledge and tools necessary to tackle statistical challenges with proficiency and assurance.

Statistics

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Author : Lewis Jack
language : en
Publisher:
Release Date : 2018-10-11

Statistics written by Lewis Jack and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-11 with categories.

***** BUY NOW (will soon return to 19.97 $) ***** Are you thinking of learning about Statistics? (For Absolute Beginners) This book is for you. It would seek to explain common terms and concepts in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions.The book includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book.This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using statistics. From AI Sciences Publisher Published by AI Sciences, the Publisher of Amazon Best Sellers: Hands on Machine Learning with Python, Deep Learning Fundamentals and Data Analysis form Scratch with Python. This book guides beginners through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples and historical origins. Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations. Target Users This book is written to help you learn the fundamentals concepts in statistics. If you are an absolute beginner in this field, you'll find that this book explains complex concepts in an easy to understand manner without math or complicated theorical elements. If you are an experienced data scientist, this book gives you a good base from which to explore statistics applications.Topics are carefully selected to give you a broad exposure to statistics. While not overwhelming you with information overload. What's Inside This Book? Why Learn Statistics? The Scientist in Data Scientist Using Statistics to Lie Using "Statistics" for Credibility Correlation & Causation Random Sampling & Bias in Surveys Inaccurate Data Visualizations The Baseline Effect Reviewing the Basics Measures of Central Tendency About Outliers Measures of Spread Normal Distribution Confidence Intervals Data Visualizations Working with Data Formulating a Hypothesis (or just making a guess) Gathering Data & Comparing with Consequences Data Collection in the Modern World Frequently Asked Questions Q: Is this book for me and do I need programming experience?A: This book is for absolute beginner in statistics. No programming experience is required.Q: Does this book include everything I need to become a statistics expert?A: Unfortunately, no. This book is designed for readers taking their first steps in statistics and further learning will be required beyond this book to master all aspects of statistics.Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email (email address inside the book). ***** MONEY BACK GUARANTEE BY AMAZON *****

Python For Absolute Beginners

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Author : OSWALD CAMPESATO
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-10-15

Python For Absolute Beginners written by OSWALD CAMPESATO and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-15 with Computers categories.

This book eases you into the foundational aspects of Python 3.x with an extensive range of code samples that illustrate its diverse features. Start with Python tools and installations, and progressively learn intricacies like strings, loops, conditional logic, and much more. The appendices on NumPy and Pandas provide insights into efficient numerical operations, making it a holistic resource for novice programmers. Companion files with code samples are available for downloading from the publisher.

Statistics In A Nutshell

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Author : Sarah Boslaugh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2008-07-25

Statistics In A Nutshell written by Sarah Boslaugh and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-25 with Mathematics categories.

Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts. You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis. Organized into four distinct sections, Statistics in a Nutshell offers you: Introductory material: Different ways to think about statistics Basic concepts of measurement and probability theory Data management for statistical analysis Research design and experimental design How to critique statistics presented by others Basic inferential statistics: Basic concepts of inferential statistics The concept of correlation, when it is and is not an appropriate measure of association Dichotomous and categorical data The distinction between parametric and nonparametric statistics Advanced inferential techniques: The General Linear Model Analysis of Variance (ANOVA) and MANOVA Multiple linear regression Specialized techniques: Business and quality improvement statistics Medical and public health statistics Educational and psychological statistics Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests. With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.

Bitesize Python For Absolute Beginners

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Author : Di Wu
language : en
Publisher: CRC Press
Release Date : 2025-07-31

Bitesize Python For Absolute Beginners written by Di Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-31 with Computers categories.

As an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies. While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minutes each, following our BiteSize approach. Each lesson begins with a clear and short introduction to the topic. This gives you a strong base to start from and gets you ready for deeper learning. Then, you will see coding demonstrations that show the ideas discussed. These examples are simple and useful, helping you really understand the concepts. You’ll then practice tasks at different difficulty levels, so you can test your knowledge and increase your confidence. You’ll also play with case studies to solve real-world problems. Tips are included to show how you can incorporate generative AI into your learning toolkit, using it for feedback, practice exercises, code reviews, and exploring advanced topics. Recommended AI prompts can help you identify areas for improvement, review key concepts, and track your progress. This book is designed for absolute beginners with no prior programming experience. It is ideal for individuals with busy schedules or limited time for studying.