Think Stats

Author: Allen B. Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1491907371

Category: Computers

Page: 226

View: 6519

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If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data
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Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python

Author: Stefanie Molin

Publisher: Packt Publishing Ltd

ISBN: 1789612802

Category: Computers

Page: 716

View: 971

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Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key Features Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains using step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool Book Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling in Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Who this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.
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Think Stats

Author: Allen Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1449307116

Category: Computers

Page: 119

View: 3582

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Shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python -- Back cover.
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General statistics

Author: Warren Chase,Fred Bown

Publisher: John Wiley & Sons

ISBN: 9780471868620

Category: Mathematics

Page: 583

View: 2810

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Key Features of the Fourth Edition * Chapter 4, Probability, is now optional * Ten new smaller data sets, in addition to the hallmark Framingham Heart Study Data * Streamlined! - Organizing Data and Describing Data are now combined into a single chapter * Examples and Exercises include a stronger emphasis on statistical thinking and exploratory data analysis * Additional computer output from Minitab, Data Desk, JMP, SPSS, Resampling Stats, Maple V, and Mathematica
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Stats

Data and Models

Author: Richard D. De Veaux,Paul F. Velleman,David E. Bock

Publisher: N.A

ISBN: 9780135163825

Category: Mathematical statistics

Page: 1024

View: 6722

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For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humor Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data -- while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition's approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples. Also available with MyLab Statistics MyLab(tm) Statistics is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Statistics, search for: 0135256216 / 9780135256213 Stats: Data and Models Plus MyLab Statistics with Pearson eText - Access Card Package Package consists of: 013516382X / 9780135163825 Stats: Data and Models 0135189691 / 9780135189696 MyLab Statistics with Pearson eText - Standalone Access Card - for Stats: Data and Models
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Intro Stats

Author: Richard D. De Veaux,Paul F. Velleman,David E. Bock

Publisher: N.A

ISBN: 9780134210223

Category: Mathematics

Page: 800

View: 9074

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For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humor Inspired by the 2016 GAISE Report revision, Intro Stats, 5th Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data - while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for students to understand more complicated statistical later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition's approach to teaching intro stats is revolutionary, while retaining its lively tone and popular features such as Think/Show/Tell examples. Also available with MyLab Statistics Used by nearly one million students a year, MyLab(tm) Statistics is the world's leading online program for teaching and learning statistics. MyLab Statistics delivers assessment, tutorials, and multimedia resources that provide engaging and personalized experiences for each student, so learning can happen in any environment. Each course is developed to accompany Pearson's best-selling content, authored by thought leaders across the statistics curriculum, and can be easily customized to fit any course format. Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Statistics, search for: 0134210239 / 9780134210230 Intro Stats Plus NEW MyLab Statistics with Pearson eText - Access Card Package, 5/e Package consists of: 0134210220 / 9780134210223 Intro Stats, 5/e 0134768361 / 9780134768366 MyLab Statistics with Pearson eText - Standalone Access Card - for Intro Stats 5/e
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Developing thinking in statistics

Author: Alan Graham

Publisher: Sage Publications Ltd

ISBN: N.A

Category: Education

Page: 276

View: 7078

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Designed to heighten awareness of statistical ideas, this comprehensive and research-based text explores four main themes: describing, comparing, inter-relating, and uncertainty.
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Statistical Thinking and Learning

Author: Brian Greer

Publisher: Lawrence Erlbaum Assoc Incorporated

ISBN: N.A

Category: Education

Page: 155

View: 7078

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Devoted to statistical thinking and learning, this special double issue reflects major developments within statistics education. During recent years, statistics has entered or gained increased prominence in mainstream mathematics curricula in many countries. Some aspects of the relationship between statistics education and mathematics education in general are illustrated, as is the crucial role of statistical education for responsible citizenship in modern society. The articles: * provide analyses of the development of children's statistical thinking, * discuss statistical thinking at a higher and more technical level, and * illustrate the issues central to the development of statistical education.
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