A Business Analyst's Introduction to Business Analytics

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Release : 2020-07-20
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A Business Analyst's Introduction to Business Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Business Analyst's Introduction to Business Analytics write by Adam Fleischhacker. This book was released on 2020-07-20. A Business Analyst's Introduction to Business Analytics available in PDF, EPUB and Kindle. This up-to-date business analytics textbook (published in July 2020) will get you harnessing the power of the R programming language to: manipulate and model data, discover and communicate insight, to visually communicate that insight, and successfully advocate for change within an organization. Book Description A frequent teaching-award winning professor with an analytics-industry background shares his hands-on guide to learning business analytics. It is the first textbook addressing a complete and modern business analytics workflow that includes data manipulation, data visualization, modelling business problems with graphical models, translating graphical models into code, and presenting insights back to stakeholders. Book Highlights Content that is accessible to anyone, even most analytics beginners. If you have taken a stats course, you are good to go. Assumes no knowledge of the R programming language. Provides introduction to R, RStudio, and the Tidyverse. Provides a solid foundation and an implementable workflow for anyone wading into the Bayesian inference waters. Provides a complete workflow within the R-ecosystem; there is no need to learn several programming languages or work through clunky interfaces between software tools. First book introducing two powerful R-packages - `causact` for visual modelling of business problems and `greta` which is an R interface to `TensorFlow` used for Bayesian inference. Uses the intuitive coding practices of the `tidyverse` including using `dplyr` for data manipulation and `ggplot2` for data visualization. Datasets that are freely and easily accessible. Code for generating all results and almost every visualization used in the textbook. Do not learn statistical computation or fancy math in a vacuum, learn it through this guide within the context of solving business problems.

Introduction to Business Analysis

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Release : 2020-07-06
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Book Rating : 935/5 ( reviews)

Introduction to Business Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Business Analysis write by Fred Hulme. This book was released on 2020-07-06. Introduction to Business Analysis available in PDF, EPUB and Kindle.

Introduction to Business Analytics Using Simulation

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Release : 2022-02-06
Genre : Business & Economics
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Book Rating : 173/5 ( reviews)

Introduction to Business Analytics Using Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Business Analytics Using Simulation write by Jonathan P. Pinder. This book was released on 2022-02-06. Introduction to Business Analytics Using Simulation available in PDF, EPUB and Kindle. Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Introduction to Business Analysis & Valuation

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Release : 1997
Genre : Business enterprises
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Book Rating : 317/5 ( reviews)

Introduction to Business Analysis & Valuation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Business Analysis & Valuation write by Krishna G. Palepu. This book was released on 1997. Introduction to Business Analysis & Valuation available in PDF, EPUB and Kindle. This casebook supplies approximately six full-sized cases based on real world applications, appropriate for all professionals who work with financial statement analysis. The text thoroughly discusses a series of analysis techniques, such as business strategy analysis, accounting analysis, financial analysis, and prospective analysis.

An Introduction to Business Systems Analysis

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Release : 2009
Genre : Business & Economics
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Book Rating : 612/5 ( reviews)

An Introduction to Business Systems Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Introduction to Business Systems Analysis write by Eugene O'Loughlin. This book was released on 2009. An Introduction to Business Systems Analysis available in PDF, EPUB and Kindle. This book looks at the role of the Business Analyst and offers analysis tools for problem identification, identifying improvement priorities, decision making, problem solving, and process improvement.