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End-To-end Data Analytics for Product Development
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Data Science and Big Data Analytics
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Excel 2016 Formulas and Functions
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Analyzing Business Data with Excel
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SQL for Data Analysis
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SQL for Data Analytics
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Relational Database Design and Implementation
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NoSQL for Mere Mortals
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Practical Data Science with R
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R Graphics Cookbook
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R Programming Fundamentals
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Statistical Data Cleaning with Applications in R
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A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R
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R for Everyone: Advanced Analytics and Graphics
R for Data Science
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Hands-On Programming with R
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Practical Statistics for Data Scientists
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Beginning R 4
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Regression Analysis with R
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R: Predictive Analysis
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Tableau Desktop 2020 Cookbook
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Learning Tableau 2020
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Visual Data Storytelling with Tableau
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Storytelling with Data
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Statistical Analysis with Excel for Dummies
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Written for professionals and students without a background in statistics or math, you’ll learn to create, interpret, and translate statistics.
Statistics Essentials for Dummies
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provides not only an overview of key concepts, but it also serves as a reference or refresher for students in upper-level statistics courses.
Statistical Analysis with R for Dummies
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Offers easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming.
Probability and Statistics
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Fundamentals of Applied Probability and Random Processes
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This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics.
For Everyone Who Has Ever Been Afraid of Statistics
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This book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator.
An Easy to Understand Guide to Statistics and Analytics
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This edition contains more practical examples than ever – all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models – including complete solutions you can put right to work! Learn how to do all this, and more:
Statistics for Business
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This text will help you to develop strong skills in presenting and interpreting statistical information in a business or management environment.
A Guide to Business Statistics
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An accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notation A Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more streamlined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae. The author--an expert in the field--offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are introduced through examples, and the text is designed to be accessible to readers with a variety of backgrounds. To enhance learning, most of the mathematical formulae and notation appears in technical appendices at the end of each chapter. This important resource: Offers a comprehensive guide to understanding business statistics targeting business and economics students and professionals Introduces the concepts and techniques through concise and intuitive examples Focuses on understanding by moving distracting formulae and mathematical notation to appendices Offers intuition, insights, humor, and practical advice for students of business statistics Features coverage of sampling techniques, descriptive statistics, probability, sampling distributions, confidence intervals, hypothesis tests, and regression Written for undergraduate business students, business and economics majors, teachers, and practitioners, A Guide to Business Statistics offers an accessible guide to the key concepts and fundamental principles in statistics.
Business Statistics
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In this edition, efforts have been made to assist readers in converting data into useful information that can be used by decision-makers in making more thoughtful, information-based decisions.
