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Author: Prof Dr Balasubramanian Thiagarajan
Publisher: Otolaryngology online
ISBN: 9358914645
Category : Computers
Languages : en
Pages : 479
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Book Description
In today’s data-driven world, the ability to analyze and interpret data has become an essential skill for individuals and organizations alike. Statistical analysis, which involves using mathematical methods to analyze and draw conclusions from data, is one of the most powerful tools available for this purpose. While statistical analysis can be performed using various software programs, Microsoft Excel remains one of the most widely used tools for data analysis. Its user-friendly interface, versatile features, and widespread availability make it a popular choice for data analysis, especially for those who are new to statistical analysis. This book, “Mastering Statistical Analysis Using Excel,” is designed to provide readers with a comprehensive guide to using Excel for statistical analysis. Whether you are a beginner or an experienced user of Excel, this book will help you master the fundamentals of statistical analysis and learn how to use Excel to perform a wide range of statistical analyses. The book is organized into chapters that cover different statistical techniques, starting with basic descriptive statistics and progressing to more advanced techniques such as hypothesis testing, regression analysis, and ANOVA. Each chapter includes clear explanations of the concepts, step-by-step instructions for performing the analysis in Excel, and examples to illustrate how to apply the techniques to real-world data. Throughout the book, we focus on practical applications of statistical analysis, with a particular emphasis on using Excel to solve real-world problems. We also include tips and tricks for optimizing your use of Excel, including keyboard shortcuts, Excel functions, and add-ins that can help streamline your analysis. We believe that this book will be a valuable resource for anyone looking to improve their skills in statistical analysis using Excel. Whether you are a student, a business professional, or a researcher, the techniques and tools covered in this book will help you gain valuable insights from your data and make informed decisions based on your findings.
Author: Prof Dr Balasubramanian Thiagarajan
Publisher: Otolaryngology online
ISBN: 9358914645
Category : Computers
Languages : en
Pages : 479
Get Book Here
Book Description
In today’s data-driven world, the ability to analyze and interpret data has become an essential skill for individuals and organizations alike. Statistical analysis, which involves using mathematical methods to analyze and draw conclusions from data, is one of the most powerful tools available for this purpose. While statistical analysis can be performed using various software programs, Microsoft Excel remains one of the most widely used tools for data analysis. Its user-friendly interface, versatile features, and widespread availability make it a popular choice for data analysis, especially for those who are new to statistical analysis. This book, “Mastering Statistical Analysis Using Excel,” is designed to provide readers with a comprehensive guide to using Excel for statistical analysis. Whether you are a beginner or an experienced user of Excel, this book will help you master the fundamentals of statistical analysis and learn how to use Excel to perform a wide range of statistical analyses. The book is organized into chapters that cover different statistical techniques, starting with basic descriptive statistics and progressing to more advanced techniques such as hypothesis testing, regression analysis, and ANOVA. Each chapter includes clear explanations of the concepts, step-by-step instructions for performing the analysis in Excel, and examples to illustrate how to apply the techniques to real-world data. Throughout the book, we focus on practical applications of statistical analysis, with a particular emphasis on using Excel to solve real-world problems. We also include tips and tricks for optimizing your use of Excel, including keyboard shortcuts, Excel functions, and add-ins that can help streamline your analysis. We believe that this book will be a valuable resource for anyone looking to improve their skills in statistical analysis using Excel. Whether you are a student, a business professional, or a researcher, the techniques and tools covered in this book will help you gain valuable insights from your data and make informed decisions based on your findings.
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 149204735X
Category : Computers
Languages : en
Pages : 372
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Book Description
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
Author: Joshua D. Angrist
Publisher: Princeton University Press
ISBN: 0691152845
Category : Business & Economics
Languages : en
Pages : 300
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Book Description
From Joshua Angrist, winner of the Nobel Prize in Economics, and Jörn-Steffen Pischke, an accessible and fun guide to the essential tools of econometric research Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful. The five most valuable econometric methods, or what the authors call the Furious Five—random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences—are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse. Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect. Shows why econometrics is important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 224
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Book Description
Unleash the Power of Insights from Data Are you ready to embark on a transformative journey into the world of data science? "Mastering Data Science" is your comprehensive guide to unlocking the full potential of data for extracting valuable insights and driving informed decisions. Whether you're an aspiring data scientist looking to enhance your skills or a business leader seeking to leverage data-driven strategies, this book equips you with the knowledge and tools to master the art of data science. Key Features: 1. Dive into Data Science: Immerse yourself in the realm of data science, understanding its core principles, methodologies, and applications. Build a solid foundation that empowers you to extract meaningful insights from complex datasets. 2. Data Exploration and Visualization: Master the art of data exploration and visualization. Learn how to analyze datasets, uncover patterns, and create compelling visualizations that reveal hidden trends. 3. Statistical Analysis and Hypothesis Testing: Uncover the power of statistical analysis and hypothesis testing. Explore techniques for making data-driven inferences, validating assumptions, and drawing meaningful conclusions. 4. Machine Learning Fundamentals: Delve into machine learning concepts and techniques. Learn about supervised and unsupervised learning, feature engineering, model selection, and evaluation. 5. Predictive Analytics: Discover the realm of predictive analytics. Learn how to build predictive models that forecast future outcomes, enabling proactive decision-making. 6. Natural Language Processing (NLP) and Text Mining: Explore NLP and text mining techniques. Learn how to process and analyze textual data, extract sentiments, and uncover insights from unstructured content. 7. Time Series Analysis: Master time series analysis for modeling sequential data. Learn how to forecast trends, identify seasonality, and make predictions based on temporal patterns. 8. Big Data and Data Wrangling: Dive into big data analytics and data wrangling. Learn how to handle and preprocess large datasets, ensuring data quality and usability. 9. Deep Learning and Neural Networks: Uncover the world of deep learning and neural networks. Learn how to build and train deep learning models for tasks like image recognition and natural language understanding. 10. Real-World Applications: Gain insights into real-world applications of data science across industries. From healthcare to finance, explore how organizations harness data science for strategic decision-making. Who This Book Is For: "Mastering Data Science" is an indispensable resource for aspiring data scientists, analysts, and business professionals who want to excel in extracting insights from data. Whether you're new to data science or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of data for innovation. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author: John Carlis
Publisher: Addison-Wesley Professional
ISBN: 0134176537
Category : Computers
Languages : en
Pages : 629
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Book Description
Data modeling is one of the most critical phases in the database application development process, but also the phase most likely to fail. A master data modeler must come into any organization, understand its data requirements, and skillfully model the data for applications that most effectively serve organizational needs. Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data that users need. Assuming no prior knowledge, Mastering Data Modeling sets forth several fundamental problems of data modeling, such as reconciling the software developer's demand for rigor with the users' equally valid need to speak their own (sometimes vague) natural language. In addition, it describes the good habits that help you respond to these fundamental problems. With these good habits in mind, the book describes the Logical Data Structure (LDS) notation and the process of controlled evolution by which you can create low-cost, user-approved data models that resist premature obsolescence. Also included is an encyclopedic analysis of all data shapes that you will encounter. Most notably, the book describes The Flow, a loosely scripted process by which you and the users gradually but continuously improve an LDS until it faithfully represents the information needs. Essential implementation and technology issues are also covered. You will learn about such vital topics as: The fundamental problems of data modeling The good habits that help a data modeler be effective and economical LDS notation, which encourages these good habits How to read an LDS aloud--in declarative English sentences How to write a well-formed (syntactically correct) LDS How to get users to name the parts of an LDS with words from their own business vocabulary How to visualize data for an LDS A catalog of LDS shapes that recur throughout all data models The Flow--the template for your conversations with users How to document an LDS for users, data modelers, and technologists How to map an LDS to a relational schema How LDS differs from other notations and why "Story interludes" appear throughout the book, illustrating real-world successes of the LDS notation and controlled evolution process. Numerous exercises help you master critical skills. In addition, two detailed, annotated sample conversations with users show you the process of controlled evolution in action.
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 219
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Book Description
Unveil the Secrets of Data Analysis and Inference In the realm of data-driven decision-making, probability and statistics are the bedrock of understanding uncertainty, variability, and drawing meaningful conclusions. "Mastering Probability and Statistics" is your definitive guide to unraveling the intricacies of these essential mathematical tools, empowering you to make informed decisions and draw insightful conclusions from data. About the Book: As data becomes increasingly integral to various fields, a solid foundation in probability and statistics becomes a critical asset. "Mastering Probability and Statistics" offers a comprehensive exploration of these core concepts—an indispensable toolkit for students, analysts, researchers, and enthusiasts alike. This book caters to both newcomers and experienced learners aiming to excel in probability, statistical analysis, and data interpretation. Key Features: Probability Essentials: Begin by understanding the core principles of probability. Learn about random variables, probability distributions, and the mathematics of uncertainty. Descriptive Statistics: Dive into descriptive statistics. Explore techniques for summarizing and visualizing data using measures of central tendency and variability. Probability Distributions: Grasp the art of working with probability distributions. Understand the characteristics of common distributions like the normal, binomial, and exponential distributions. Statistical Inference: Explore the realm of statistical inference. Learn how to make decisions and draw conclusions about populations based on sample data using hypothesis testing and confidence intervals. Regression Analysis: Understand the power of regression analysis. Explore techniques for modeling relationships between variables and making predictions using linear and nonlinear regression. Probability and Sampling: Delve into probability and sampling techniques. Learn how to apply probability concepts to sampling methods and estimate population parameters. Multivariate Analysis: Grasp multivariate analysis techniques. Explore methods for analyzing data with multiple variables, including principal component analysis and factor analysis. Real-World Applications: Gain insights into how probability and statistics are applied across industries. From business to science, discover the diverse applications of these concepts in various fields. Why This Book Matters: In an era of data-driven decision-making, mastering probability and statistics offers a competitive advantage. "Mastering Probability and Statistics" empowers learners, analysts, researchers, and technology enthusiasts to leverage these foundational concepts, enabling them to analyze data, make informed decisions, and draw meaningful insights. Uncover the Power of Data Insight: In the landscape of data-driven decision-making, probability and statistics are the keys to understanding uncertainty and drawing meaningful insights. "Mastering Probability and Statistics" equips you with the knowledge needed to leverage these essential mathematical tools, enabling you to analyze data, make informed decisions, and draw valuable conclusions. Whether you're an experienced analyst or new to the world of data analysis, this book will guide you in building a solid foundation for effective statistical reasoning and data interpretation. Your journey to mastering probability and statistics starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 207
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Book Description
Communicate Insights Through Compelling Visuals Are you prepared to transform your data into compelling visual stories? "Mastering Data Visualization" is your ultimate guide to unlocking the power of data visualization for effective communication of insights. Whether you're a data analyst aiming to convey findings or a business leader seeking to make data-driven decisions, this book equips you with the knowledge and techniques to master the art of data visualization. Key Features: 1. Dive into Data Visualization: Immerse yourself in the world of data visualization, understanding its significance, principles, and applications. Build a solid foundation that empowers you to convey complex information through captivating visuals. 2. Data Exploration and Preparation: Master the art of data exploration and preparation for visualization. Learn how to clean, transform, and structure data to ensure accuracy in your visual representations. 3. Visual Design Principles: Delve into visual design principles for effective communication. Explore color theory, typography, and layout techniques that enhance the clarity and impact of your visuals. 4. Charts and Graphs: Uncover a range of charts and graphs for different data types. Learn how to choose the right visualization type, from bar charts to scatter plots, to convey specific insights. 5. Interactive Visualizations: Discover the power of interactive visualizations. Learn how to create dynamic and engaging visuals that allow users to explore data on their terms. 6. Geospatial and Network Visualizations: Master geospatial and network visualizations. Explore techniques for mapping spatial data and representing relationships in complex networks. 7. Storytelling with Data: Explore the art of storytelling with data. Learn how to structure your visual narrative, build a compelling story arc, and guide viewers through your insights. 8. Visualization Tools and Software: Uncover a range of visualization tools and software. Learn how to use popular tools to create stunning visualizations and infographics. 9. Data Visualization Best Practices: Delve into best practices for creating effective data visualizations. Learn how to avoid common pitfalls, ensure accessibility, and tailor visuals to your audience. 10. Real-World Applications: Gain insights into real-world use cases of data visualization across industries. From business reports to interactive dashboards, discover how organizations leverage data visualization for impactful communication. Who This Book Is For: "Mastering Data Visualization" is an essential resource for data analysts, designers, and business professionals aiming to excel in conveying insights through visual storytelling. Whether you're enhancing your technical skills or transforming data into actionable insights, this book will guide you through the intricacies and empower you to harness the full potential of data visualization. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author: Jay Withgott
Publisher: Pearson
ISBN: 9780134204888
Category : Climatic changes
Languages : en
Pages : 784
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Book Description
For courses in introductory environmental science. Help Students Connect Current Environmental Issues to the Science Behind Them Environment: The Science behind the Stories is a best seller for the introductory environmental science course known for its student-friendly narrative style, its integration of real stories and case studies, and its presentation of the latest science and research. The 6th Edition features new opportunities to help students see connections between integrated case studies and the science in each chapter, and provides them with opportunities to apply the scientific process to environmental concerns. Also available with Mastering Environmental Science Mastering(tm) Environmental Science is an online homework, tutorial, and assessment system designed to improve results by helping students quickly master concepts. Students benefit from self-paced tutorials that feature personalized wrong-answer feedback and hints that emulate the office-hour experience and help keep students on track. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Note: You are purchasing a standalone product; Mastering(tm) Environmental Science does not come packaged with this content. Students, if interested in purchasing this title with Mastering Environmental Science, ask your instructor for 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 Mastering Environmental Science, search for: 0134145933 / 9780134145938 Environment: The Science behind the Stories Plus Mastering Environmental Science with eText -- Access Card Package Package consists of: 0134204883 / 9780134204888 Environment: The Science behind the Stories 0134510194 / 9780134510194 Mastering Environmental Science with Pearson eText -- ValuePack Access Card -- for Environment: The Science behind the Stories Environment: The Science behind the Stories , 6th Edition is also available via Pearson eText, a simple-to-use, mobile, personalized reading experience that lets instructors connect with and motivate students -- right in their eTextbook. Learn more.
Author: Sue Reeves
Publisher: Springer Nature
ISBN: 3031419111
Category : Science
Languages : en
Pages : 171
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Book Description
This reader-friendly guide is specifically designed for any student who has ever had a question about theses as part of their university undergraduate degree course in a life- or health science-related subject. It covers the varied types of projects that exist, including experimental work, surveys, meta-analyses, audits and qualitative and quantitative studies - all in one place. Get support at planning, completing and writing of your research based thesis. By using examples and check lists, this book leads you through the entire process encompassing each chapter of the dissertation. Let the question and answer writing style encourage you and boost your confidence when embarking on what is probably your largest piece of work to date, solved in a step by step approach. The experienced authors have run an enormous number of web and face-to-face workshops to support students in life and health sciences and help them write their dissertations. It became clear that research theses are a considerable source of anxiety and that many essential questions need answering - this book is your solution.
Author: Michael J. A. Berry
Publisher:
ISBN: 9788126518258
Category :
Languages : en
Pages : 512
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Book Description
Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.
