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End-To-end Data Analytics for Product Development by 
Data Science and Big Data Analytics by 
Excel 2016 Formulas and Functions by 
Analyzing Business Data with Excel by 
SQL for Data Analysis by 
SQL for Data Analytics by 
Relational Database Design and Implementation by 
NoSQL for Mere Mortals by 
Practical Data Science with R by 
R Graphics Cookbook by 
R Programming Fundamentals by 
Statistical Data Cleaning with Applications in R by 
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R by 
R for Everyone: Advanced Analytics and Graphics
R for Data Science by 
Hands-On Programming with R by 
Practical Statistics for Data Scientists by 
Beginning R 4 by 
Regression Analysis with R by 
R: Predictive Analysis by 
Tableau Desktop 2020 Cookbook by 
Learning Tableau 2020 by 
Visual Data Storytelling with Tableau by 
Storytelling with Data by 
Statistical Analysis with Excel for Dummies by
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 by
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 by
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 by 
Fundamentals of Applied Probability and Random Processes by
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 by
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 by
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 by
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 by
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 by
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.
