Mastering Statistics

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The Art of Statistics

Author : David Spiegelhalter
Publisher : Basic Books
ISBN 13 : 1541618521
Total Pages : 359 pages
Book Rating : 4.5/5 (416 download)

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Book Synopsis The Art of Statistics by : David Spiegelhalter

Download or read book The Art of Statistics written by David Spiegelhalter and published by Basic Books. This book was released on 2019-09-03 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.

Mastering Statistical Analysis with Excel

Author : Prof Dr Balasubramanian Thiagarajan
Publisher : Otolaryngology online
ISBN 13 : 9358914645
Total Pages : 479 pages
Book Rating : 4.3/5 (589 download)

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Book Synopsis Mastering Statistical Analysis with Excel by : Prof Dr Balasubramanian Thiagarajan

Download or read book Mastering Statistical Analysis with Excel written by Prof Dr Balasubramanian Thiagarajan and published by Otolaryngology online. This book was released on with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mastering 'Metrics

Author : Joshua D. Angrist
Publisher : Princeton University Press
ISBN 13 : 0691152845
Total Pages : 300 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Mastering 'Metrics by : Joshua D. Angrist

Download or read book Mastering 'Metrics written by Joshua D. Angrist and published by Princeton University Press. This book was released on 2014-12-21 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mastering Shiny

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149204735X
Total Pages : 372 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Mastering Shiny by : Hadley Wickham

Download or read book Mastering Shiny written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2021-04-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT

Author : Michael J. A. Berry
Publisher :
ISBN 13 : 9788126518258
Total Pages : 512 pages
Book Rating : 4.5/5 (182 download)

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Book Synopsis MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT by : Michael J. A. Berry

Download or read book MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT written by Michael J. A. Berry and published by . This book was released on 2008-09-01 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mastering Data Science

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.8/5 (625 download)

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Book Synopsis Mastering Data Science by : Cybellium Ltd

Download or read book Mastering Data Science written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mastering Data Modeling

Author : John Carlis
Publisher : Addison-Wesley Professional
ISBN 13 : 0134176537
Total Pages : 629 pages
Book Rating : 4.1/5 (341 download)

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Book Synopsis Mastering Data Modeling by : John Carlis

Download or read book Mastering Data Modeling written by John Carlis and published by Addison-Wesley Professional. This book was released on 2000-11-10 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mastering Data Breaches

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.8/5 (567 download)

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Book Synopsis Mastering Data Breaches by : Cybellium Ltd

Download or read book Mastering Data Breaches written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.

Straightforward Statistics

Author : Glenn Geher
Publisher : Oxford University Press, USA
ISBN 13 : 0199751765
Total Pages : 481 pages
Book Rating : 4.1/5 (997 download)

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Book Synopsis Straightforward Statistics by : Glenn Geher

Download or read book Straightforward Statistics written by Glenn Geher and published by Oxford University Press, USA. This book was released on 2014 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Straightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and applied research. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples. Students should find this book easy useful and engaging in its presentation while instructors should find it detailed, comprehensive, accessible, and helpful in complementing a basic course in statistics.

Mastering Data Analysis with Python

Author : Rajender Kumar
Publisher : Jamba Academy
ISBN 13 : 1960833022
Total Pages : 317 pages
Book Rating : 4.9/5 (68 download)

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Book Synopsis Mastering Data Analysis with Python by : Rajender Kumar

Download or read book Mastering Data Analysis with Python written by Rajender Kumar and published by Jamba Academy. This book was released on 2023-03-27 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you tired of feeling like you're stuck in a dead-end job with no room for growth or advancement? Are you ready to take your career to the next level and start making real money? Look no further than "Mastering Data Analysis with Python." This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results. Key Features: Here's just a taste of what you'll learn in this book: How to use Python's built-in libraries to manipulate and analyze data like a pro Techniques for cleaning and prepping data for analysis Advanced data visualization techniques to help you communicate your findings How to use statistical methods to draw meaningful insights from your data And much more! WHO THIS BOOK IS FOR? Data analysts and scientists who want to learn how to use Python for data analysis Programmers who want to add data analysis skills to their repertoire Anyone interested in exploring and visualizing data using Python Students and professionals looking to improve their data analysis and visualization skills Individuals interested in machine learning and artificial intelligence who need to learn data analysis fundamentals. What other people says: But don't just take our word for it. Here's what some of our readers have had to say: "I've been working as a data analyst for a few years now, but this book taught me so many new techniques that I was able to immediately apply to my job and start making more money." "I've always been interested in data analysis, but I didn't know where to start. This book is the perfect introduction to the field and has helped me land my dream job." "I was able to use the skills I learned in this book to negotiate a raise and make an additional $100,000 per year!" Outcome: Gain proficiency in NumPy, Pandas, and Matplotlib Learn to handle data effectively using Python Develop the skills to perform exploratory data analysis and data visualization Acquire the knowledge to build predictive models and perform statistical analysis Learn to handle large datasets and work with real-world data Master the skills to communicate data insights effectively Gain confidence in using Python for data analysis and visualization Table of Contents 1: Introduction to Data Analysis with Python 2: Getting Started with Python 3: Built-in Data Structures, Functions, and Files 4: Data Wrangling 5: NumPy for Data Analysis 6: Pandas for Data Analysis 7: Descriptive Statistics for Data Analysis 8: Data Exploration 9: Matplotlib for Data visualization 10: Data Visualization 11: Data Analysis in Business A. Additional Resources for Further Learning B. Insider Secrets for Success as A Data Analyst C. Glossary So, what are you waiting for? Don't let your dreams of a high-paying career in data analysis slip away. Get your hands on "Mastering Data Analysis with Python" today and start making real money.

Mastering Statistics

Author : Tim Hannagan
Publisher : Red Globe Press
ISBN 13 : 0333660579
Total Pages : 0 pages
Book Rating : 4.3/5 (336 download)

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Book Synopsis Mastering Statistics by : Tim Hannagan

Download or read book Mastering Statistics written by Tim Hannagan and published by Red Globe Press. This book was released on 1997-08-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of this highly successful book covers all the essential information needed to master statistics. Included are up-to- date sections on probability, vital statistics, market research, experiments and scaling.

Mastering Data-Intensive Collaboration and Decision Making

Author : Nikos Karacapilidis
Publisher : Springer Science & Business Media
ISBN 13 : 3319026127
Total Pages : 234 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Mastering Data-Intensive Collaboration and Decision Making by : Nikos Karacapilidis

Download or read book Mastering Data-Intensive Collaboration and Decision Making written by Nikos Karacapilidis and published by Springer Science & Business Media. This book was released on 2014-04-05 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large and rapidly evolving sources. The Dicode approach and services are fully explained and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and humans. It can be viewed as an innovative “workbench” incorporating and orchestrating a set of interoperable services that reduce the data intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.

Mastering Data Analysis with R

Author : Gergely Daroczi
Publisher : Packt Publishing Ltd
ISBN 13 : 1783982039
Total Pages : 397 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Mastering Data Analysis with R by : Gergely Daroczi

Download or read book Mastering Data Analysis with R written by Gergely Daroczi and published by Packt Publishing Ltd. This book was released on 2015-09-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

Mastering R

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 223 pages
Book Rating : 4.8/5 (591 download)

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Book Synopsis Mastering R by : Cybellium Ltd

Download or read book Mastering R written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.

Mastering Marketing Data Science

Author : Iain Brown
Publisher : John Wiley & Sons
ISBN 13 : 1394258720
Total Pages : 439 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Mastering Marketing Data Science by : Iain Brown

Download or read book Mastering Marketing Data Science written by Iain Brown and published by John Wiley & Sons. This book was released on 2024-04-26 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

Mastering Research Statistics

Author : Yan Piaw Chua
Publisher :
ISBN 13 : 9789675771699
Total Pages : 383 pages
Book Rating : 4.7/5 (716 download)

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Book Synopsis Mastering Research Statistics by : Yan Piaw Chua

Download or read book Mastering Research Statistics written by Yan Piaw Chua and published by . This book was released on 2013 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mastering the Job Market

Author : Elizabeth L. Shoenfelt
Publisher : Oxford University Press
ISBN 13 : 0190071184
Total Pages : 216 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Mastering the Job Market by : Elizabeth L. Shoenfelt

Download or read book Mastering the Job Market written by Elizabeth L. Shoenfelt and published by Oxford University Press. This book was released on 2020-11-27 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering the Job Market: Career Issues for Master's Level Industrial-Organizational Psychologists is the definitive source for practical advice and evidence-based recommendations for the development of successful careers in professional I-O psychology. Authors from top-ranked I-O master's programs address topics such as the job search, applying for jobs, on-boarding, organizational roles, salaries, career transitions, and maintaining professionalism throughout the I-O master's career. Drawing from a large nationwide survey of I-O master's practitioners and their employers, this volume brings together critical insights into the nuts and bolts of conducting a job search and other specific strategies to enable job seekers to land one or multiple job offers within six months of graduation. Key competencies for success, professional development opportunities for I-O master's graduates, and the three best practices for maximizing mentoring relationships are also discussed. This book will be essential reading for recent graduates and anyone undertaking a career transition in I-O Psychology.