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Tag: Statistics

  • An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)


    Price: $84.89
    (as of Jan 19,2025 12:11:09 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2020 edition (July 28, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 292 pages
    ISBN-10 ‏ : ‎ 3030489965
    ISBN-13 ‏ : ‎ 978-3030489960
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 6.1 x 0.66 x 9.25 inches


    Are you interested in learning how to analyze data using R? Look no further! In this post, we will provide you with a comprehensive introduction to data analysis in R, covering hands-on coding, data mining, visualization, and statistics from scratch.

    R is a powerful programming language and software environment for statistical computing and graphics. It is widely used by data scientists, statisticians, and researchers for analyzing and visualizing data. Whether you are a beginner or an experienced programmer, learning R can help you unlock the full potential of your data analysis projects.

    In this post, we will cover the basics of R programming, including data structures, functions, and packages. We will also walk you through the process of importing, cleaning, and manipulating data using R. Additionally, we will explore data mining techniques, such as clustering and classification, to uncover patterns and relationships in your data.

    Furthermore, we will demonstrate how to create insightful data visualizations, including bar plots, scatter plots, and heatmaps, using popular R packages like ggplot2 and plotly. Finally, we will introduce you to statistical analysis in R, covering hypothesis testing, regression analysis, and ANOVA.

    By the end of this post, you will have a solid foundation in data analysis in R and be equipped with the skills to tackle your own data projects. So let’s get started and unleash the power of R for your data analysis needs!
    #Introduction #Data #Analysis #Handson #Coding #Data #Mining #Visualization #Statistics #Scratch,machine learning: an applied mathematics introduction

  • Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R


    Price: $42.27
    (as of Jan 19,2025 03:22:41 UTC – Details)




    ASIN ‏ : ‎ B0718ZX97T
    Publisher ‏ : ‎ The Guilford Press; Annotated edition (April 28, 2017)
    Publication date ‏ : ‎ April 28, 2017
    Language ‏ : ‎ English
    File size ‏ : ‎ 8683 KB
    Text-to-Speech ‏ : ‎ Not enabled
    Enhanced typesetting ‏ : ‎ Not Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 325 pages
    Format ‏ : ‎ Print Replica

    Customers say

    Customers find the book provides a refreshing introduction to data science using R. They appreciate the clear writing style and straightforward presentation of complex topics. The book is easy for them to use, with simple workarounds for outdated scripts and intuitive software like R.

    AI-generated from the text of customer reviews


    Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R

    In today’s data-driven world, the ability to reason with data is more important than ever. Traditional statistics has long been the go-to method for analyzing data and making inferences about populations. However, in recent years, Bayesian statistics has gained popularity as a more flexible and intuitive approach to data analysis.

    In this post, we will provide an introduction to both traditional and Bayesian statistics using the popular statistical software R. We will cover the basic principles of each approach, as well as how to implement them using R.

    Traditional statistics involves using methods such as hypothesis testing, confidence intervals, and regression analysis to make inferences about a population based on a sample of data. These methods are based on the frequentist interpretation of probability, which views probability as the long-run frequency of an event occurring.

    On the other hand, Bayesian statistics takes a different approach by viewing probability as a measure of uncertainty or belief. In Bayesian statistics, we update our beliefs about a population based on both prior knowledge and new data. This allows for more flexibility in modeling complex relationships and incorporating subjective information into our analysis.

    Using R, we can easily implement both traditional and Bayesian statistical methods. R provides a wide range of packages for performing statistical analysis, including base R functions for traditional statistics and packages such as Stan and JAGS for Bayesian analysis.

    By learning how to reason with data using both traditional and Bayesian statistics in R, you will be better equipped to analyze and interpret data in a meaningful way. Whether you are a beginner or an experienced data analyst, understanding these statistical methods will enhance your ability to make informed decisions based on data.

    Stay tuned for future posts where we will dive deeper into specific statistical techniques and examples of how to implement them in R. Reasoning with data is a powerful skill that can help you unlock valuable insights and drive informed decision-making in your work and research.
    #Reasoning #Data #Introduction #Traditional #Bayesian #Statistics,machine learning: an applied mathematics introduction

  • Statistics: An Introduction Using R


    Price: $57.26
    (as of Jan 19,2025 02:03:41 UTC – Details)




    Publisher ‏ : ‎ John Wiley & Sons Inc; 1st edition (April 22, 2005)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 327 pages
    ISBN-10 ‏ : ‎ 0470022981
    ISBN-13 ‏ : ‎ 978-0470022986
    Item Weight ‏ : ‎ 1.4 pounds
    Dimensions ‏ : ‎ 6.5 x 1 x 9.5 inches

    Customers say

    Customers find the book provides a clear review of courses in descriptive statistics, regression, ANOVA, and ANCOVA. They say it’s an excellent refresher on basic statistics and R. Many consider it the best book in statistics they have read. However, some readers feel some of the best R examples were not provided, as R is both open source and free.

    AI-generated from the text of customer reviews


    Introduction to Statistics Using R

    Statistics is a fundamental discipline that involves collecting, analyzing, interpreting, and presenting data. It helps us make informed decisions and draw meaningful conclusions from various datasets. In this post, we will introduce you to the basics of statistics using the programming language R.

    R is a powerful tool for statistical analysis and data visualization. It provides a wide range of functions and packages that make it easy to perform complex statistical calculations. Whether you are a beginner or an experienced statistician, R can help you with your data analysis needs.

    In this post, we will cover the following topics:

    1. Introduction to R: We will provide an overview of the R programming language and its capabilities for statistical analysis.

    2. Basic Statistics: We will discuss the basic statistical measures such as mean, median, mode, standard deviation, and variance.

    3. Data Visualization: We will explore various ways to visualize data using R, including histograms, box plots, and scatter plots.

    4. Hypothesis Testing: We will introduce the concept of hypothesis testing and show you how to perform hypothesis tests using R.

    5. Linear Regression: We will explain the concept of linear regression and demonstrate how to fit a linear regression model using R.

    By the end of this post, you will have a basic understanding of statistics and how to use R for data analysis. Stay tuned for more in-depth tutorials on specific statistical techniques and advanced R programming concepts.
    #Statistics #Introduction,machine learning: an applied mathematics introduction

  • An Elementary Introduction to Statistical Learning Theory (Wiley Series in Probability and Statistics Book 853)


    Price: $67.99
    (as of Jan 18,2025 22:24:39 UTC – Details)




    ASIN ‏ : ‎ B007WU87CE
    Publisher ‏ : ‎ Wiley; 1st edition (April 20, 2012)
    Publication date ‏ : ‎ April 20, 2012
    Language ‏ : ‎ English
    File size ‏ : ‎ 5427 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 356 pages


    Are you interested in delving into the world of statistical learning theory, but find the topic overwhelming or intimidating? Fear not, as “An Elementary Introduction to Statistical Learning Theory” is here to guide you through the fundamentals in a clear and concise manner.

    Written by renowned experts in the field, this book from the Wiley Series in Probability and Statistics provides a gentle introduction to the principles and techniques behind statistical learning theory. Whether you are a beginner or simply looking to refresh your knowledge, this book offers a solid foundation for understanding the key concepts and applications in this fascinating field.

    With easy-to-follow explanations, illustrative examples, and practical exercises, “An Elementary Introduction to Statistical Learning Theory” will help you grasp the essential concepts and tools needed to analyze and interpret data effectively. So, if you’re ready to embark on your journey into the world of statistical learning theory, this book is the perfect starting point for your exploration.
    #Elementary #Introduction #Statistical #Learning #Theory #Wiley #Series #Probability #Statistics #Book,machine learning: an applied mathematics introduction

  • Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! (Content Guide Included Book 2)


    Price: $3.99
    (as of Jan 18,2025 16:16:11 UTC – Details)




    ASIN ‏ : ‎ B07NCSGZ12
    Publication date ‏ : ‎ February 3, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 4199 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 62 pages


    Are you struggling to understand statistics? Look no further! Our latest book, “Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! (Content Guide Included Book 2),” is here to help you master the concepts with ease.

    This comprehensive guide features 50 solved equations that will break down complex statistical concepts into simple, easy-to-understand explanations. Whether you’re a student, professional, or just looking to expand your knowledge, this book is perfect for anyone wanting to improve their statistical skills.

    With a detailed content guide included, you can easily navigate through the book and find the information you need quickly. From probability theory to hypothesis testing, this book covers it all in a clear and concise manner.

    Don’t let statistics intimidate you any longer. Pick up a copy of “Learn Statistics Today: 50 Solved Equations To Easily Explain Statistics! (Content Guide Included Book 2)” and start mastering statistics today!
    #Learn #Statistics #Today #Solved #Equations #Easily #Explain #Statistics #Content #Guide #Included #Book,machine learning: an applied mathematics introduction

  • The Book of R: A First Course in Programming and Statistics


    Price: $59.99 – $42.31
    (as of Jan 17,2025 21:52:26 UTC – Details)


    From the Publisher

    Copy of The Book of R on black background with No Starch Press logoCopy of The Book of R on black background with No Starch Press logo

    Spread of The Book of R on a yellow backgroundSpread of The Book of R on a yellow background

    ‘A Game Changer’

    “You must see this epic work . . . a game changer.”

    —Kirk Borne, Principal Data Scientist at Booz Allen Hamilton

    Copies of The Book of R on a black backgroundCopies of The Book of R on a black background

    ‘Extremely Well Written’

    “Extremely well written with excellent explanations and examples, this book fully accomplishes the goal of providing the reading with both the programming and statistical skills required to become proficient with this language. I am nothing short of amazed at the consistent quality and clarity of the text and the utility of the exercises.”

    —Computerworld

    Spread of The Book of R on a yellow backgroundSpread of The Book of R on a yellow background

    ‘An Excellent Reference’

    “Overall, The Book of R is an excellent reference for novice data analysts and for students being introduced to statistical programming tools.”

    —Harry J. Foxwell, ACM’s Computing Reviews

    Side profile of man smiling in front of green treesSide profile of man smiling in front of green trees

    About the Author

    Tilman M. Davies is a senior lecturer at the University of Otago in New Zealand, where he teaches statistics and R at all university levels. He has been programming in R for 15 years and uses it in all of his courses. His research interests lie in applied spatial statistics and smoothing problems, where he has published dozens of scientific articles.

    Who Should Read This Book

    The Book of R is a gentle yet informative introduction to the statistical software environment R. It is for anyone interested in programming, statistics, and data analysis, and is especially well-suited for students and instructors of statistics courses.

    No Starch Press logo. A black circle with a white iron with a star in the centerNo Starch Press logo. A black circle with a white iron with a star in the center

    About the Publisher

    No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works, and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.

    ASIN ‏ : ‎ 1593276516
    Publisher ‏ : ‎ No Starch Press; 1st edition (July 16, 2016)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 832 pages
    ISBN-10 ‏ : ‎ 9781593276515
    ISBN-13 ‏ : ‎ 978-1593276515
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 7.06 x 1.69 x 9.31 inches

    Customers say

    Customers find the book helpful for learning R. They appreciate the informative content and detailed examples provided with a fun way of explaining statistics and program language. The text is well-written and easy to understand, structured logically. Readers also mention that the visual presentation of data looks great.

    AI-generated from the text of customer reviews


    Are you interested in learning how to program and analyze data using the R programming language? Look no further than “The Book of R: A First Course in Programming and Statistics.”

    This comprehensive guide is perfect for beginners who want to dive into the world of data science and statistics. With step-by-step instructions and clear explanations, you’ll learn how to write R code, manipulate data, and create visualizations to gain insights from your datasets.

    Whether you’re a student, researcher, or professional looking to enhance your skills, “The Book of R” is the perfect resource to help you master the fundamentals of programming and statistics in R. Get your copy today and start your journey towards becoming a data analysis expert!
    #Book #Programming #Statistics,machine learning: an applied mathematics introduction

  • Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & … Science, Python & Statistics for Beginners)


    Price: $14.85
    (as of Jan 17,2025 18:13:38 UTC – Details)


    From the Publisher

    Add Machine Learning to Your Skill Stack in 2023

    machine learning absolute beginners book amazon Oliver theobaldmachine learning absolute beginners book amazon Oliver theobald

    Plain English Explanations

    All technical concepts are explained in plain English to keep you learning all the way to the final chapter!

    machine learning absolute beginners book amazon Oliver theobaldmachine learning absolute beginners book amazon Oliver theobald

    Video Content Included

    Enjoy access to video classes and code demonstrations to reinforce fundamental concepts.

    machine learning absolute beginners Oliver theobald bookmachine learning absolute beginners Oliver theobald book

    Chapter Quizzes

    Test your knowledge and technical understanding with practical chapter quizzes along the way.

    machine learning absolute beginners Oliver theobald bookmachine learning absolute beginners Oliver theobald book

    Code Exercises

    Learn how to code your own basic prediction models using Python and datasets available online.

    Add to Cart

    Customer Reviews

    4.4 out of 5 stars

    395

    4.5 out of 5 stars

    217

    4.1 out of 5 stars

    113

    4.4 out of 5 stars

    515

    4.5 out of 5 stars

    48

    4.4 out of 5 stars

    241

    Price

    $15.80$15.80 $3.99$3.99 $3.99$3.99 $3.94$3.94 $3.99$3.99 $3.92$3.92

    Python Code Examples

    ✓

    ✓

    ✓

    ✓

    ✓

    Pre-requisites
    None (basic Python & statistics useful) Basic Python Basic Python None None

    Video Content

    ✓

    ✓

    Publisher ‏ : ‎ Independently published (July 21, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 159 pages
    ISBN-10 ‏ : ‎ 1081762462
    ISBN-13 ‏ : ‎ 978-1081762469
    Item Weight ‏ : ‎ 8.6 ounces
    Dimensions ‏ : ‎ 6 x 0.4 x 9 inches

    Customers say

    Customers find the book provides an excellent introduction to basic concepts of data science in a layman’s language. They find it a great resource for explaining the fundamentals of data science in readable and easy-to-follow instructions. The book is described as a good first step into data analytics and a great read.

    AI-generated from the text of customer reviews


    In today’s data-driven world, the ability to understand and analyze data is a crucial skill. Whether you’re a business professional, a student, or just someone interested in learning more about data analytics, this deconstructed guide is designed to help you develop your data literacy from the ground up.

    In this post, we will cover the basics of data analytics, including what data is, how to visualize data, and how to use data for business intelligence. We will also explore the world of data science, and introduce you to programming languages like Python and statistics for beginners.

    By the end of this guide, you will have a solid foundation in data analytics and be well-equipped to start exploring the vast world of data science. So let’s dive in and start our journey to becoming data-literate!
    #Data #Analytics #Absolute #Beginners #Deconstructed #Guide #Data #Literacy #Introduction #Data #Data #Visualization #Business #Intelligence #Science #Python #Statistics #Beginners,machine learning: an applied mathematics introduction

  • All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)


    Price: $64.99 – $52.86
    (as of Jan 17,2025 05:16:50 UTC – Details)




    Publisher ‏ : ‎ Springer (December 1, 2010)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 462 pages
    ISBN-10 ‏ : ‎ 1441923225
    ISBN-13 ‏ : ‎ 978-1441923226
    Item Weight ‏ : ‎ 1.5 pounds
    Dimensions ‏ : ‎ 6.1 x 1.06 x 9.25 inches

    Customers say

    Customers find the book useful for learning statistics and data. They appreciate the clear explanations and proofs, though some find the presentation language mathematical. However, opinions differ on the intuition provided, with some finding it insightful and well-organized, while others feel it lacks background intuition and details.

    AI-generated from the text of customer reviews


    “All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)”

    Looking to dive deep into the world of statistics? Look no further than “All of Statistics: A Concise Course in Statistical Inference.” This comprehensive text, part of the renowned Springer Texts in Statistics series, provides a thorough overview of statistical concepts and methods in a clear and concise manner.

    Whether you’re a student, researcher, or practitioner in the field of statistics, this book offers a solid foundation in statistical theory and inference. From probability theory to hypothesis testing to regression analysis, “All of Statistics” covers all the essential topics you need to know to make informed decisions based on data.

    Written by acclaimed statistician Larry Wasserman, this book is a must-have resource for anyone looking to deepen their understanding of statistical inference. Pick up a copy today and take your statistical knowledge to the next level!
    #Statistics #Concise #Statistical #Inference #Springer #Texts #Statistics,machine learning: an applied mathematics introduction

  • Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R


    Price: $52.35
    (as of Jan 17,2025 03:54:34 UTC – Details)




    ASIN ‏ : ‎ 1462530265
    Publisher ‏ : ‎ The Guilford Press; Annotated edition (May 22, 2017)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 325 pages
    ISBN-10 ‏ : ‎ 9781462530267
    ISBN-13 ‏ : ‎ 978-1462530267
    Item Weight ‏ : ‎ 1.28 pounds
    Dimensions ‏ : ‎ 7 x 0.55 x 10 inches

    Customers say

    Customers find the book provides a refreshing introduction to data science using R. They appreciate the clear writing style and straightforward presentation of complex topics. The book is easy for them to use, with simple workarounds for outdated scripts and intuitive software like R.

    AI-generated from the text of customer reviews


    Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R

    Are you interested in learning how to analyze data and make informed decisions using statistical methods? If so, you’ve come to the right place. In this post, we will introduce you to the world of traditional and Bayesian statistics using the popular programming language R.

    Statistics is the science of collecting, analyzing, and interpreting data in order to make decisions based on evidence. Traditional statistics, also known as frequentist statistics, is the most commonly used approach in statistical analysis. It involves making inferences about a population based on a sample of data.

    On the other hand, Bayesian statistics is a more modern approach that uses probability theory to update beliefs about the world as new evidence is collected. This approach is gaining popularity in many fields, including machine learning, finance, and healthcare.

    In this post, we will show you how to use R, a powerful and versatile programming language for statistical analysis, to perform traditional and Bayesian statistics. We will cover topics such as hypothesis testing, regression analysis, and Bayesian inference.

    By the end of this post, you will have a solid understanding of the basics of traditional and Bayesian statistics and how to apply them using R. So, if you’re ready to reason with data and make better decisions, keep reading.
    #Reasoning #Data #Introduction #Traditional #Bayesian #Statistics,machine learning: an applied mathematics introduction

  • Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries


    Price: $20.99 – $19.86
    (as of Jan 17,2025 02:30:10 UTC – Details)




    Publisher ‏ : ‎ Statistics By Jim Publishing (August 13, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 255 pages
    ISBN-10 ‏ : ‎ 1735431109
    ISBN-13 ‏ : ‎ 978-1735431109
    Item Weight ‏ : ‎ 12.2 ounces
    Dimensions ‏ : ‎ 6 x 0.58 x 9 inches

    Customers say

    Customers find the book helpful for understanding basic statistical skills and concepts. They describe the writing as clear, concise, and easy to understand. The book is described as a great introduction to statistics that covers concepts and practices to perform analysis and correctly interpret results. Readers appreciate the value for money and find it a fantastic, friendly, useful book.

    AI-generated from the text of customer reviews


    Statistics is a powerful tool for understanding and analyzing data. Whether you’re a student, a researcher, or someone who simply wants to make sense of the world around you, statistics can help you unlock valuable insights and make informed decisions.

    In this introductory guide, we will break down the key concepts of statistics and provide you with a solid foundation for analyzing data. From basic definitions to more advanced techniques, we will cover everything you need to know to start using statistics effectively.

    We will explore topics such as probability, sampling, hypothesis testing, and regression analysis, giving you a comprehensive overview of the field. Through clear explanations and real-world examples, we will show you how statistics can be used to uncover patterns, trends, and relationships in data.

    By the end of this guide, you will have the knowledge and skills to confidently analyze data, draw meaningful conclusions, and make data-driven decisions. So let’s dive in and start unlocking the power of statistics together!
    #Introduction #Statistics #Intuitive #Guide #Analyzing #Data #Unlocking #Discoveries,machine learning: an applied mathematics introduction

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