Introduction To Business Analytics
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Introduction To Business Analytics Second Edition
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Author : Majid Nabavi
language : en
Publisher: Business Expert Press
Release Date : 2020-12-14
Introduction To Business Analytics Second Edition written by Majid Nabavi and has been published by Business Expert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Business & Economics categories.
This book presents key concepts related to quantitative analysis in business. It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This second edition adds material on Tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER.
An Introduction To Business Analytics
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Author : Ger Koole
language : en
Publisher: Lulu.com
Release Date : 2019
An Introduction To Business Analytics written by Ger Koole and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.
Business Analytics (BA) is about turning data into decisions. This book covers the full range of BA topics, including statistics, machine learning and optimization, in a way that makes them accessible to a broader audience. Decision makers will gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data scientists will benefit from an overview of the field and take their first steps as business analytics specialist. Through this book and the various exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning.
Introduction To Business Analytics Using Simulation
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Author : Jonathan P. Pinder
language : en
Publisher: Academic Press
Release Date : 2022-03-15
Introduction To Business Analytics Using Simulation written by Jonathan P. Pinder and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Business & Economics categories.
Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It 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 the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. 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, newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award in the prior edition
A Business Analyst S Introduction To Business Analytics
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Author : Adam Fleischhacker
language : en
Publisher:
Release Date : 2020-07-20
A Business Analyst S Introduction To Business Analytics written by Adam Fleischhacker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-20 with categories.
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 Analytics Second Edition
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Author : Majid Nabavi
language : en
Publisher:
Release Date : 2020-12-14
Introduction To Business Analytics Second Edition written by Majid Nabavi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Business & Economics categories.
This book presents key concepts related to quantitative analysis in business. It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This second edition adds material on Tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER.
Introduction To Business Analytics
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Author : Vernon J. Richardson
language : en
Publisher:
Release Date : 2023
Introduction To Business Analytics written by Vernon J. Richardson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Big data categories.
"Focus on Building Skills with Excel®, Tableau,® and Power BI®. Students learn how to conduct business analytics using Excel, Tableau, and Power BI-three software tools that are widely used by businesses today. Focus on Building Critical Thinking Skills. From learning to ask the right questions to interpreting and presenting results, Introduction to Business Analytics fosters critical thinking and develops business analysis skills. It teaches students how to use descriptive, diagnostic, predictive, prescriptive, and advanced analytics to answer the following business questions"--
Essentials Of Business Analytics
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Author : Bhimasankaram Pochiraju
language : en
Publisher:
Release Date : 2019
Essentials Of Business Analytics written by Bhimasankaram Pochiraju and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.
This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.
Introduction To Business Analysis
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Author : Fred Hulme
language : en
Publisher:
Release Date : 2020-07-06
Introduction To Business Analysis written by Fred Hulme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-06 with categories.
A Primer On Business Analytics
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Author : Yudhvir Seetharam
language : en
Publisher: IAP
Release Date : 2022-01-01
A Primer On Business Analytics written by Yudhvir Seetharam and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Computers categories.
This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the “new normal” for businesses that operate in this digital age. This book provides a comprehensive primer and overview of the field (and related fields such as Business Intelligence and Data Science). It will discuss the field as it applies to financial institutions, with some minor departures to other industries. Readers will gain understanding and insight into the field of data science, including traditional as well as emerging techniques. Further, many chapters are dedicated to the establishment of a data-driven team – from executive buy-in and corporate governance to managing and quantifying the return of data-driven projects.
Business Analytics
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Author : Walter R. Paczkowski
language : en
Publisher: Springer Nature
Release Date : 2022-01-03
Business Analytics written by Walter R. Paczkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-03 with Business & Economics categories.
This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.