Andres Fortino – författare

Visar alla böcker från författaren Andres Fortino. Handla med fri frakt och snabb leverans.

8 produkter

Kategorier

8 produkter

Data Analysis for Business Decisions
A Laboratory Manual
AvAndres Fortino
Häftad, Engelska, 2020
500 kr
Skickas inom 5-8 vardagar
This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book.
Features:
Teaches the statistical analysis skills needed to support business decisions Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
Data Visualization for Business Decisions
A Laboratory Manual
AvAndres Fortino
Häftad, Engelska, 2020
500 kr
Skickas inom 5-8 vardagar
This workbook is intended for business analysts who wish to improve their skills in creating data visuals, presentations, and report illustrations used to support business decisions. It is a qualitative lab to develop the power of visualization and discrimination. It does not require the reader to modify charts, but to analyze and describe what would improve charts. In a set of controlled exercises, the reader is taken through the eighteen elements of six dimensions of analyzing and improving charts, visuals and reports used to communicate business concepts. Includes companion files with videos, sample files, and slides used in examples from the book.
Features:
Includes eighteen labs, three for each of the six major dimensions of data visuals: Story, Signs, Purpose, Perception, Method, and Charts Uses a comprehensive RAIKS (Rapid Assessment of Individual Knowledge and Skills) survey to judge readers’ progress before and after using the text Provides a capstone exercise to review the aggregate analysis and final results for the two analyzed charts Companion files that include video tutorials and all of the sample files and templates used in the book's examples The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
Text Analytics for Business Decisions
A Case Study Approach
AvAndres Fortino
Häftad, Engelska, 2021
495 kr
Skickas inom 5-8 vardagar
With the rise in data science development, we now have many remarkable techniques and tools to extend data analysis from numeric and categorical data to textual data. Sifting through the open-ended responses from a survey, for example, was an arduous process when performed by hand. Using a case study approach, this book was written for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making. Most of the exercises use Excel, today’s most common analysis tool, and R, a popular analytic computer environment. The techniques covered range from the most basic text analytics, such as key word analysis, to more sophisticated techniques, such as topic extraction and text similarity scoring. Companion files with numerous datasets are included for use with case studies and exercises.
Features:
Organized by tool or technique, with the basic techniques presented first and the more sophisticated techniques presented later Uses Excel and R for datasets in case studies and exercises Features the CRISP-DM data mining standard with early chapters for conducting the preparatory steps in data mining Companion files with numerous datasets and figures from the text. The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
Data Mining and Predictive Analytics for Business Decisions
A Case Study Approach
AvAndres Fortino
Häftad, Engelska, 2023
549 kr
Skickas inom 5-8 vardagar
With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book.

Features:
Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics Uses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interface Includes companion files with the case study files from the book, solution spreadsheets, data sets, etc.
Data Analysis for Business Decisions
Case Studies in Excel, R, and ChatGPT
AvAndres Fortino
Häftad, Engelska, 2025
549 kr
Skickas inom 5-8 vardagar
In today’s data-driven world, the ability to analyze and interpret data is no longer optional—it’s a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you’ll gain the skills to make data-backed decisions that drive business success.FEATURES• Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI• Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis• Uses real-world case studies to demonstrate the application of concepts to business scenarios• Features companion files with datasets, surveys, and cases (available for downloading from the publisher)
Data Visualization for Business Decisions
Transforming Data into Actionable Insights
AvAndres Fortino,Mercury Learning and Information
E-bok
Engelska, 2024
588 kr
Läs direkt efter köp
Unlock the power of data visualization to make informed business decisions with this comprehensive guide. Learn practical techniques to turn data into actionable insights.
Key Features
Practical exercises and case studies to enhance learningFocus on storytelling and sign-making to improve data communicationComprehensive coverage of perception principles and chart selection methods
Book Description
This workbook is for business analysts aiming to enhance their skills in creating data visuals, presentations, and report illustrations to support business decisions. It focuses on developing visualization and analytical skills through qualitative labs. Readers will analyze and describe chart improvements instead of directly modifying them. The course covers eighteen elements across six dimensions: Story, Signs, Purpose, Perception, Method, and Charts.The journey starts with labs and a case study, introducing the analysis tool. It then delves into each dimension, guiding readers through exercises to enhance their understanding and skills. A comprehensive RAIKS survey assesses progress before and after using the text. The workbook concludes with a capstone exercise to review and analyze the final results of the two studied charts.These skills are crucial for effective data communication in business. This workbook transitions readers from basic to advanced visualization techniques, blending theoretical insights with practical skills. Companion files with videos, sample files, and slides enhance learning, making this workbook an essential resource for mastering business data visualization.
What you will learn
Create effective data visualizationsAnalyze case studiesUtilize storytelling techniquesDesign with purposeUnderstand perception principlesSelect appropriate charts
Who this book is for
This book is ideal for business professionals, analysts, and decision-makers seeking to improve their data visualization skills. A basic understanding of data analysis and familiarity with business concepts are recommended.
Text Analytics for Business Decisions
Mastering Techniques for Insightful Data Interpretation through a Case Study Approach
AvAndres Fortino,Mercury Learning and Information
E-bok
Engelska, 2024
594 kr
Läs direkt efter köp
Master text analytics for data-driven business decisions through hands-on case studies and practical exercises. Unlock insights from textual data using various tools and techniques.
Key Features
Comprehensive case studies for hands-on learningDetailed coverage of text analytics tools and techniquesPractical exercises to reinforce concepts
Book Description
This book leverages advanced techniques and tools in data science to extend data analysis from numeric and categorical data to textual data. Designed for business analysts, it uses a case study approach to teach skills in extracting insights from text data, supporting business decision-making. Exercises primarily use Excel and R, covering techniques from basic text analytics to sophisticated methods like topic extraction and text similarity scoring.The course begins with framing analytical questions and exploring analytical tool sets. It progresses through preparing data files, performing word frequency and keyword analysis, and conducting sentiment analysis. Advanced topics include visualizing text data, coding, named entity recognition, and topic recognition in documents. The book also covers text similarity scoring and the analysis of large datasets by sampling.Throughout this journey, readers will apply the CRISP-DM data mining standard, using companion files with numerous datasets for practical exercises. By the end, participants will have a comprehensive understanding of text analytics, enabling them to derive meaningful insights from textual data to inform business strategies.
What you will learn
Frame analytical questionsUtilize text analytics toolsPrepare text dataPerform word frequency analysisConduct sentiment analysisVisualize text data
Who this book is for
Ideal for business analysts, data scientists, and professionals interested in leveraging text data for decision-making. Readers should have a basic understanding of data analysis and familiarity with common data analysis tools.
Data Analysis for Business Decisions
A Laboratory Manual
AvAndres Fortino,Mercury Learning and Information
E-bok
Engelska, 2024
585 kr
Läs direkt efter köp
Master data analysis for business decisions with practical case studies. Learn statistical methods, data visualization, and advanced analytics techniques with step-by-step guidance.Key FeaturesPractical case studies for hands-on learning.Detailed guidance on using Excel's Analysis ToolPak.Comprehensive coverage of statistical and analytical techniques.Book DescriptionThis manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets. The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization. These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.What you will learnClean and shape data sets effectively.Install and utilize the Analysis ToolPak in Excel.Apply descriptive and inferential statistical methods.Create and interpret visual data representations.Perform advanced regression and forecasting analyses.Conduct A/B testing and text analytics.Who this book is forIdeal for business professionals, data analysts, and students aiming to enhance their data analysis skills. Basic knowledge of statistics and familiarity with Excel are recommended.

Andres Fortino – författare

Visar alla böcker från författaren Andres Fortino. Handla med fri frakt och snabb leverans.

8 produkter

Kategorier

8 produkter

Data Analysis for Business Decisions
A Laboratory Manual
AvAndres Fortino
Häftad, Engelska, 2020
500 kr
Skickas inom 5-8 vardagar
This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book.
Features:
Teaches the statistical analysis skills needed to support business decisions Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
Data Visualization for Business Decisions
A Laboratory Manual
AvAndres Fortino
Häftad, Engelska, 2020
500 kr
Skickas inom 5-8 vardagar
This workbook is intended for business analysts who wish to improve their skills in creating data visuals, presentations, and report illustrations used to support business decisions. It is a qualitative lab to develop the power of visualization and discrimination. It does not require the reader to modify charts, but to analyze and describe what would improve charts. In a set of controlled exercises, the reader is taken through the eighteen elements of six dimensions of analyzing and improving charts, visuals and reports used to communicate business concepts. Includes companion files with videos, sample files, and slides used in examples from the book.
Features:
Includes eighteen labs, three for each of the six major dimensions of data visuals: Story, Signs, Purpose, Perception, Method, and Charts Uses a comprehensive RAIKS (Rapid Assessment of Individual Knowledge and Skills) survey to judge readers’ progress before and after using the text Provides a capstone exercise to review the aggregate analysis and final results for the two analyzed charts Companion files that include video tutorials and all of the sample files and templates used in the book's examples The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
Text Analytics for Business Decisions
A Case Study Approach
AvAndres Fortino
Häftad, Engelska, 2021
495 kr
Skickas inom 5-8 vardagar
With the rise in data science development, we now have many remarkable techniques and tools to extend data analysis from numeric and categorical data to textual data. Sifting through the open-ended responses from a survey, for example, was an arduous process when performed by hand. Using a case study approach, this book was written for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making. Most of the exercises use Excel, today’s most common analysis tool, and R, a popular analytic computer environment. The techniques covered range from the most basic text analytics, such as key word analysis, to more sophisticated techniques, such as topic extraction and text similarity scoring. Companion files with numerous datasets are included for use with case studies and exercises.
Features:
Organized by tool or technique, with the basic techniques presented first and the more sophisticated techniques presented later Uses Excel and R for datasets in case studies and exercises Features the CRISP-DM data mining standard with early chapters for conducting the preparatory steps in data mining Companion files with numerous datasets and figures from the text. The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
Data Mining and Predictive Analytics for Business Decisions
A Case Study Approach
AvAndres Fortino
Häftad, Engelska, 2023
549 kr
Skickas inom 5-8 vardagar
With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book.

Features:
Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics Uses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interface Includes companion files with the case study files from the book, solution spreadsheets, data sets, etc.
Data Analysis for Business Decisions
Case Studies in Excel, R, and ChatGPT
AvAndres Fortino
Häftad, Engelska, 2025
549 kr
Skickas inom 5-8 vardagar
In today’s data-driven world, the ability to analyze and interpret data is no longer optional—it’s a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you’ll gain the skills to make data-backed decisions that drive business success.FEATURES• Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI• Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis• Uses real-world case studies to demonstrate the application of concepts to business scenarios• Features companion files with datasets, surveys, and cases (available for downloading from the publisher)
Data Visualization for Business Decisions
Transforming Data into Actionable Insights
AvAndres Fortino,Mercury Learning and Information
E-bok
Engelska, 2024
588 kr
Läs direkt efter köp
Unlock the power of data visualization to make informed business decisions with this comprehensive guide. Learn practical techniques to turn data into actionable insights.
Key Features
Practical exercises and case studies to enhance learningFocus on storytelling and sign-making to improve data communicationComprehensive coverage of perception principles and chart selection methods
Book Description
This workbook is for business analysts aiming to enhance their skills in creating data visuals, presentations, and report illustrations to support business decisions. It focuses on developing visualization and analytical skills through qualitative labs. Readers will analyze and describe chart improvements instead of directly modifying them. The course covers eighteen elements across six dimensions: Story, Signs, Purpose, Perception, Method, and Charts.The journey starts with labs and a case study, introducing the analysis tool. It then delves into each dimension, guiding readers through exercises to enhance their understanding and skills. A comprehensive RAIKS survey assesses progress before and after using the text. The workbook concludes with a capstone exercise to review and analyze the final results of the two studied charts.These skills are crucial for effective data communication in business. This workbook transitions readers from basic to advanced visualization techniques, blending theoretical insights with practical skills. Companion files with videos, sample files, and slides enhance learning, making this workbook an essential resource for mastering business data visualization.
What you will learn
Create effective data visualizationsAnalyze case studiesUtilize storytelling techniquesDesign with purposeUnderstand perception principlesSelect appropriate charts
Who this book is for
This book is ideal for business professionals, analysts, and decision-makers seeking to improve their data visualization skills. A basic understanding of data analysis and familiarity with business concepts are recommended.
Text Analytics for Business Decisions
Mastering Techniques for Insightful Data Interpretation through a Case Study Approach
AvAndres Fortino,Mercury Learning and Information
E-bok
Engelska, 2024
594 kr
Läs direkt efter köp
Master text analytics for data-driven business decisions through hands-on case studies and practical exercises. Unlock insights from textual data using various tools and techniques.
Key Features
Comprehensive case studies for hands-on learningDetailed coverage of text analytics tools and techniquesPractical exercises to reinforce concepts
Book Description
This book leverages advanced techniques and tools in data science to extend data analysis from numeric and categorical data to textual data. Designed for business analysts, it uses a case study approach to teach skills in extracting insights from text data, supporting business decision-making. Exercises primarily use Excel and R, covering techniques from basic text analytics to sophisticated methods like topic extraction and text similarity scoring.The course begins with framing analytical questions and exploring analytical tool sets. It progresses through preparing data files, performing word frequency and keyword analysis, and conducting sentiment analysis. Advanced topics include visualizing text data, coding, named entity recognition, and topic recognition in documents. The book also covers text similarity scoring and the analysis of large datasets by sampling.Throughout this journey, readers will apply the CRISP-DM data mining standard, using companion files with numerous datasets for practical exercises. By the end, participants will have a comprehensive understanding of text analytics, enabling them to derive meaningful insights from textual data to inform business strategies.
What you will learn
Frame analytical questionsUtilize text analytics toolsPrepare text dataPerform word frequency analysisConduct sentiment analysisVisualize text data
Who this book is for
Ideal for business analysts, data scientists, and professionals interested in leveraging text data for decision-making. Readers should have a basic understanding of data analysis and familiarity with common data analysis tools.
Data Analysis for Business Decisions
A Laboratory Manual
AvAndres Fortino,Mercury Learning and Information
E-bok
Engelska, 2024
585 kr
Läs direkt efter köp
Master data analysis for business decisions with practical case studies. Learn statistical methods, data visualization, and advanced analytics techniques with step-by-step guidance.Key FeaturesPractical case studies for hands-on learning.Detailed guidance on using Excel's Analysis ToolPak.Comprehensive coverage of statistical and analytical techniques.Book DescriptionThis manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets. The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization. These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.What you will learnClean and shape data sets effectively.Install and utilize the Analysis ToolPak in Excel.Apply descriptive and inferential statistical methods.Create and interpret visual data representations.Perform advanced regression and forecasting analyses.Conduct A/B testing and text analytics.Who this book is forIdeal for business professionals, data analysts, and students aiming to enhance their data analysis skills. Basic knowledge of statistics and familiarity with Excel are recommended.

Andres Fortino – författare

Data Analysis for Business Decisions

Data Visualization for Business Decisions

Text Analytics for Business Decisions

Data Mining and Predictive Analytics for Business Decisions

Data Analysis for Business Decisions

Data Visualization for Business Decisions

Text Analytics for Business Decisions

Data Analysis for Business Decisions

Andres Fortino – författare

Data Analysis for Business Decisions

Data Visualization for Business Decisions

Text Analytics for Business Decisions

Data Mining and Predictive Analytics for Business Decisions

Data Analysis for Business Decisions

Data Visualization for Business Decisions

Text Analytics for Business Decisions

Data Analysis for Business Decisions