Analyzing Data And Making Informed Decisions

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Analyzing Data and Making Informed Decisions

Author : Thelma I Hewitt
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (834 download)

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Book Synopsis Analyzing Data and Making Informed Decisions by : Thelma I Hewitt

Download or read book Analyzing Data and Making Informed Decisions written by Thelma I Hewitt and published by Independently Published. This book was released on 2024-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you tired of making decisions based on gut feelings and guesswork? Do you want to take your business to the next level by using data-driven insights? Look no further! "Analyzing Data and Making Informed Decisions: Using Metrics to Drive Success" is the ultimate guide that will revolutionize the way you make decisions and propel your business towards unprecedented success. In today's fast-paced and competitive world, making informed decisions is crucial for any business to thrive. Gone are the days of relying on intuition and assumptions. It's time to harness the power of data and metrics to gain a competitive edge. This book will equip you with the knowledge and tools to analyze data effectively and make informed decisions that will drive your business forward. Written by a team of industry experts, "Analyzing Data and Making Informed Decisions" is a comprehensive and practical guide that will demystify the world of data analysis. Whether you're a seasoned entrepreneur or just starting out, this book will provide you with the essential skills and techniques to unlock the true potential of your business. Inside this book, you will discover: 1. The importance of data-driven decision making: Learn why relying on data is crucial for success in today's business landscape. Understand how data can uncover hidden opportunities and mitigate risks. 2. Key metrics and analytics tools: Discover the most important metrics and analytics tools that will help you gain valuable insights into your business. From customer acquisition costs to conversion rates, you'll learn how to measure and track the metrics that matter. 3. Data visualization techniques: Learn how to present data in a visually appealing and easy-to-understand manner. Master the art of data visualization to effectively communicate your findings and make compelling arguments. 4. Case studies and real-world examples: Dive into real-life case studies and examples from various industries to see how data analysis has transformed businesses. Learn from the successes and failures of others to avoid common pitfalls and make better decisions. 5. Actionable strategies and tips: Get ready to implement what you've learned with actionable strategies and tips. From setting up data collection systems to conducting A/B tests, you'll have a step-by-step roadmap to follow. Reading "Analyzing Data and Making Informed Decisions" will not only empower you with the knowledge and skills to make data-driven decisions but also ignite a passion for the power of data. You'll feel a sense of excitement as you uncover hidden patterns and insights that will transform your business. Don't miss out on this opportunity to

Data-informed Decisions

Author : Jonathan Ross
Publisher :
ISBN 13 : 9781071907252
Total Pages : 0 pages
Book Rating : 4.9/5 (72 download)

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Book Synopsis Data-informed Decisions by : Jonathan Ross

Download or read book Data-informed Decisions written by Jonathan Ross and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The decision-making process consists of a range of factors that influence the choices made. Within the sphere of these direct and indirect influences is information, which can stem from different sources (e.g., internal, external) and reflect a variety of types (e.g., data, experience, feedback). Decision-making is a large domain that can get complex as the number of variables and weightage of each change; decision-making can be subjective or objective within the context of the decision. By drawing attention to these factors, you may be able to effectively navigate the decision-making process in a timelier and data-informed manner. The intention of this set of topics is to introduce a data-informed decision-making process with a simple dataset within a scenario-based learning environment to trigger your interests within this domain. The scenario is that you are the head of a toy-making manufacturer and you've heard complaints from your female employees that male employees are being paid more than female employees. In order to examine the validity of this complaint, you will harvest and clean data on your employees, their levels of experience and education as well as how much they are currently paid in Dataset Preliminaries. Next, you will analyze the dataset to see whether there is pay discrimination based on gender in your company and decide what steps should be taken to remedy the situation in Decision-Making Informed by Data. Finally, in Communicating the Decision, Analyzing the Effect of the Decision, and Continual Improvement, you will explore how to communicate the decision to the employees in your toy-making company as well as how to measure whether your decisions are having the desired effect. Note that the topics in this module are not completely self-contained. In order to understand each topic, you need to have studied the previous topic as the module builds chronologically through the topics using the same running example.

Data Analytics Made Easy

Author : Andrea De Mauro
Publisher : Packt Publishing Ltd
ISBN 13 : 1801074585
Total Pages : 407 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Data Analytics Made Easy by : Andrea De Mauro

Download or read book Data Analytics Made Easy written by Andrea De Mauro and published by Packt Publishing Ltd. This book was released on 2021-08-30 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to gain insights from your data as well as machine learning and become a presentation pro who can create interactive dashboards Key FeaturesEnhance your presentation skills by implementing engaging data storytelling and visualization techniquesLearn the basics of machine learning and easily apply machine learning models to your dataImprove productivity by automating your data processesBook Description Data Analytics Made Easy is an accessible beginner's guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don't worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You'll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You'll not only be able to understand data scientists' machine learning models; you'll be able to challenge them and build your own. Creating interactive dashboards – Follow the book's simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results. What you will learnUnderstand the potential of data and its impact on your businessImport, clean, transform, combine data feeds, and automate your processesInfluence business decisions by learning to create engaging presentationsBuild real-world models to improve profitability, create customer segmentation, automate and improve data reporting, and moreCreate professional-looking and business-centric visuals and dashboardsOpen the lid on the black box of AI and learn about and implement supervised and unsupervised machine learning modelsWho this book is for This book is for beginners who work with data and those who need to know how to interpret their business/customer data. The book also covers the high-level concepts of data workflows, machine learning, data storytelling, and visualizations, which are useful for managers. No previous math, statistics, or computer science knowledge is required.

Data-based Decision Making in Education

Author : Kim Schildkamp
Publisher : Springer Science & Business Media
ISBN 13 : 9400748159
Total Pages : 221 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Data-based Decision Making in Education by : Kim Schildkamp

Download or read book Data-based Decision Making in Education written by Kim Schildkamp and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.

Contemporary Technologies in Education

Author : Olusola O. Adesope
Publisher : Springer
ISBN 13 : 3319896806
Total Pages : 268 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Contemporary Technologies in Education by : Olusola O. Adesope

Download or read book Contemporary Technologies in Education written by Olusola O. Adesope and published by Springer. This book was released on 2018-11-08 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume provides a critical discussion of theoretical, methodological, and practical developments of contemporary forms of educational technologies. Specifically, the book discusses the use of contemporary technologies such as the Flipped Classroom (FC), Massive Open Online Course (MOOC), Social Media, Serious Educational Games (SEG), Wikis, innovative learning software tools, and learning analytic approach for making sense of big data. While some of these contemporary educational technologies have been touted as panaceas, researchers and developers have been faced with enormous challenges in enhancing the use of these technologies to arouse student attention and improve persistent motivation, engagement, and learning. Hence, the book examines how contemporary technologies can engender student motivation and result in improved engagement and learning. Each chapter also discusses the road ahead and where appropriate, uses the current trend to predict future affordances of technologies.

Big Data on Campus

Author : Karen L. Webber
Publisher : Johns Hopkins University Press
ISBN 13 : 1421439034
Total Pages : 337 pages
Book Rating : 4.4/5 (214 download)

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Book Synopsis Big Data on Campus by : Karen L. Webber

Download or read book Big Data on Campus written by Karen L. Webber and published by Johns Hopkins University Press. This book was released on 2020-11-03 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Webber, Henry Y. Zheng, Ying Zhou

Performance Dashboards

Author : Wayne W. Eckerson
Publisher : John Wiley & Sons
ISBN 13 : 0471757659
Total Pages : 321 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Performance Dashboards by : Wayne W. Eckerson

Download or read book Performance Dashboards written by Wayne W. Eckerson and published by John Wiley & Sons. This book was released on 2005-10-27 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tips, techniques, and trends on how to use dashboard technology to optimize business performance Business performance management is a hot new management discipline that delivers tremendous value when supported by information technology. Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution.

Data Analytics Made Easy

Author : Andrea de Mauro
Publisher :
ISBN 13 : 9781801074155
Total Pages : 406 pages
Book Rating : 4.0/5 (741 download)

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Book Synopsis Data Analytics Made Easy by : Andrea de Mauro

Download or read book Data Analytics Made Easy written by Andrea de Mauro and published by . This book was released on 2021-08-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make informed decisions using data analytics, machine learning, and data visualizations Key Features: Take raw data and transform it to add value to your organization Learn the art of telling stories with your data to engage with your audience Apply machine learning algorithms to your data with a few clicks of a button Book Description: Data analytics has become a necessity in modern business, and skills such as data visualization, machine learning, and digital storytelling are now essential in every field. If you want to make sense of your data and add value with informed decisions, this is the book for you. Data Analytics Made Easy is an accessible guide to help you start analyzing data and quickly apply these skills to your work. It focuses on how to generate insights from your data at the click of a few buttons, using the popular tools KNIME and Microsoft Power BI. The book introduces the concepts of data analytics and shows you how to get your data ready and apply ML algorithms. Implement a full predictive analytics solution with KNIME and assess its level of accuracy. Create impressive visualizations with Microsoft Power BI and learn the greatest secret in successful analytics - how to tell a story with your data. You'll connect the dots on the various stages of the data-to-insights process and gain an overview of alternative tools, including Tableau and H20 Driverless AI. By the end of this book, you will have learned how to implement machine learning algorithms and sell the results to your customers without writing a line of code. What You Will Learn: Understand the potential of data and its impact on any business Influence business decisions with effective data storytelling when delivering insights Use KNIME to import, clean, transform, combine data feeds, and automate recurring workflows Learn the basics of machine learning and AutoML to add value to your organization Build, test, and validate simple supervised and unsupervised machine learning models with KNIME Use Power BI and Tableau to build professional-looking and business-centric visuals and dashboards Who this book is for: Whether you are working with data experts or want to find insights in your business' data, you'll find this book an effective way to add analytics to your skill stack. No previous math, statistics, or computer science knowledge is required.

Sport Industry Research and Analysis

Author : Jacquelyn Cuneen
Publisher : Routledge
ISBN 13 : 1351817108
Total Pages : 241 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Sport Industry Research and Analysis by : Jacquelyn Cuneen

Download or read book Sport Industry Research and Analysis written by Jacquelyn Cuneen and published by Routledge. This book was released on 2017-05-08 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sport Industry Research & Analysis offers a no-nonsense, straightforward approach to the study of research design and statistical analysis in the sport enterprise. Each chapter outlines real-world instances in which research and statistics contribute to bottom-line decisions. The book includes clear, progressive instructions, using spreadsheets for statistical computations and analyses. The explanations for the calculations and analyses are presented in the context of sport industry scenarios with sample data. Additional scenarios with sample data provide hands-on practice with each statistical test. "In Practice" contributions from sport industry professionals demonstrate how these practitioners use research and statistical analysis in their everyday tasks. This book's succinct, applied approach to research design and statistical analyses provides readers with essential skills to help them understand the importance of an information-based approach to decision making in the sport enterprise.

Data-Based Decision Making and Digital Transformation

Author : Daniel J. Power
Publisher : Business Expert Press
ISBN 13 : 1631576593
Total Pages : 106 pages
Book Rating : 4.6/5 (315 download)

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Book Synopsis Data-Based Decision Making and Digital Transformation by : Daniel J. Power

Download or read book Data-Based Decision Making and Digital Transformation written by Daniel J. Power and published by Business Expert Press. This book was released on 2018-05-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organizational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?

Using Data in Schools to Inform Leadership and Decision Making

Author : Alex J. Bowers
Publisher : IAP
ISBN 13 : 1623967880
Total Pages : 281 pages
Book Rating : 4.6/5 (239 download)

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Book Synopsis Using Data in Schools to Inform Leadership and Decision Making by : Alex J. Bowers

Download or read book Using Data in Schools to Inform Leadership and Decision Making written by Alex J. Bowers and published by IAP. This book was released on 2014-11-01 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our fifth book in the International Research on School Leadership series focuses on the use of data in schools and districts as useful information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and attendance as just a short list of student information sources, while additional streams of data feed into schools and districts from teachers and parents as well as local, regional and national policy levels. To deal with the data, schools have implemented a variety of data practices, from data rooms, to data days, data walks, and data protocols. However, despite the flood of data, successful school leaders are leveraging an analysis of their school’s data as a means to bring about continuous improvement in an effort to improve instruction for all students. Nevertheless, some drown, some swim, while others find success. Our goal in this book volume is to bring together a set of chapters by authors who examine successful data use as it relates to leadership and school improvement. In particular, the chapters in this volume consider important issues in this domain, including: • How educational leaders use data to inform their practice. • What types of data and data analysis are most useful to successful school leaders. • To what extent are data driven and data informed practices helping school leaders positively change instructional practice? • In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking? • How have school leadership practices changed as more data and data analysis techniques have become available? • What are the major obstacles facing school leaders when using data for decision making and how do they overcome them?

Handbook of Data-Based Decision Making in Education

Author : Theodore Kowalski
Publisher : Routledge
ISBN 13 : 1135890838
Total Pages : 686 pages
Book Rating : 4.1/5 (358 download)

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Book Synopsis Handbook of Data-Based Decision Making in Education by : Theodore Kowalski

Download or read book Handbook of Data-Based Decision Making in Education written by Theodore Kowalski and published by Routledge. This book was released on 2010-04-15 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education has fought long and hard to gain acceptance as a profession and, since professionals by definition use data to shape the decisions they make, education has little choice but to continue moving in this direction. This 3-part handbook represents a major contribution to the literature of education. It is a unique compendium of the most original work currently available on how, when and why evidence should be used to ground practice. It is a comprehensive, cross-disciplinary, research-based, and practice-based resource that all educators can turn to as a guide to data-based decision making. The Handbook of Data-Based Decision Making in Education is a must read for researchers who are just beginning to explore the scientifically based nature of educational practice. It is also appropriate for policy makers and practitioners who are confronted with young people who need to be in classrooms where "best practices" are the norm and not the exception.

Data Analysis

Author : Charles Nehme
Publisher : Charles Nehme
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Analysis by : Charles Nehme

Download or read book Data Analysis written by Charles Nehme and published by Charles Nehme. This book was released on with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of business, data analysis has emerged as a powerful tool for decision-making, innovation, and competitive advantage. This book delves into the intricacies of data analysis and its practical applications in the corporate realm. Embark on a journey through the world of data analysis, exploring its fundamental concepts, methodologies, and real-world applications. Unveiling the Power of Data Analysis In this comprehensive guide, we delve into the fundamental principles of data analysis, enabling you to harness the power of data to drive business success. We begin by defining data analysis and its multifaceted role in business operations. Next, we embark on a journey through the different types of data analysis, each serving a distinct purpose in uncovering valuable insights. Data Collection and Preparation: Laying the Foundation Effective data analysis hinges on the quality and integrity of the data being analyzed. This chapter delves into meticulous data collection practices, emphasizing the importance of identifying reliable sources, ensuring data quality, and transforming data into a usable format. Exploratory Data Analysis (EDA): Unveiling Hidden Patterns EDA serves as the cornerstone of data analysis, enabling us to explore and understand the underlying structure of data. This chapter introduces you to various EDA techniques, equipping you with the tools to identify trends, patterns, and relationships within data sets. Data Modeling: Unleashing the Predictive Power of Data Data modeling takes data analysis to the next level, enabling us to create predictive models that forecast future outcomes. This chapter explores a range of data modeling techniques, from descriptive statistics to machine learning algorithms, demonstrating how to harness the predictive power of data. Data Visualization: Communicating Insights Effectively Data visualization plays a crucial role in translating complex data into clear and compelling visualizations. This chapter introduces you to various data visualization charts and graphs, along with their applications in communicating insights effectively to stakeholders. Decision Making with Data: Empowering Informed Choices Data analysis is not merely about collecting and analyzing data; it's about transforming data into actionable insights that drive informed decision-making. This chapter explores the role of data in supporting decision-making processes, emphasizing the importance of integrating data analysis into the decision-making framework. Data Ethics and Privacy: Navigating the Ethical Landscape With the growing reliance on data, ethical considerations have become paramount. This chapter delves into the ethical principles governing data collection, storage, and use, ensuring responsible data analysis and compliance with data protection regulations. Data Governance and Management: Ensuring Data Quality and Compliance Data governance establishes a framework for managing data effectively, ensuring its quality, security, and compliance. This chapter explores data governance frameworks and principles, providing guidance on implementing data governance practices in businesses. Case Studies of Data Analysis in Business: Real-world Applications Data analysis has revolutionized various business functions, from marketing and sales to customer service and operations. This chapter showcases real-world case studies that demonstrate the impact of data analysis on businesses, illustrating how data can be used to create competitive advantages and drive innovation. The Future of Data Analysis: Embracing Emerging Trends The world of data analysis is constantly evolving, with emerging trends such as big data, artificial intelligence, and machine learning transforming the way businesses collect, analyze, and use data. This chapter explores these emerging trends, highlighting their potential to transform businesses and drive innovation in the future. Embrace the Data Revolution In conclusion, this comprehensive guide equips you with the knowledge and skills to harness the power of data analysis and empower your business to make informed decisions, drive innovation, and achieve sustainable growth. As the world becomes increasingly data-driven, data analysis has emerged as a critical skill for businesses of all sizes. Embrace the data revolution and unlock the transformative potential of data analysis for your organization.

From Data to Decisions

Author : Raissa Gomez
Publisher : Zee Publishing
ISBN 13 :
Total Pages : 90 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis From Data to Decisions by : Raissa Gomez

Download or read book From Data to Decisions written by Raissa Gomez and published by Zee Publishing. This book was released on 2024-05-21 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Data to Decisions: Your Friendly Guide to Understanding Modern Decision Intelligence by Raissa Gomez Feeling overwhelmed by the buzz around "data-driven decisions" and "artificial intelligence"? Don't worry, you're not alone! "From Data to Decisions" is your friendly, jargon-free introduction to the exciting world of Decision Intelligence (DI). No prior experience required! Inside, you'll discover: DI Basics Made Easy: We'll break down the core concepts of DI in simple terms, explaining why it's so important for today's businesses. Real-World Examples, Not Just Theory: Learn how everyday decisions – from choosing a new product to planning a marketing campaign – can be improved with DI. A Roadmap to Getting Started: We'll show you the first steps to take on your DI journey, even if you're starting from scratch. The Future of Decision-Making: Get a sneak peek into how DI is changing the way we work and live. Whether you're a curious student, a business owner, or simply someone who wants to make better decisions, "From Data to Decisions" will give you the confidence and knowledge to embrace this powerful tool. Ready to unlock the secrets of smarter decision-making? Grab your copy of "From Data to Decisions" today and start your DI adventure!

Statistics, Data Analysis, and Decision Modeling

Author : James Robert Evans
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 590 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Statistics, Data Analysis, and Decision Modeling by : James Robert Evans

Download or read book Statistics, Data Analysis, and Decision Modeling written by James Robert Evans and published by Prentice Hall. This book was released on 2007 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.

Machine Learning for Business Analytics

Author : Hemachandran K
Publisher : CRC Press
ISBN 13 : 1000615448
Total Pages : 176 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Machine Learning for Business Analytics by : Hemachandran K

Download or read book Machine Learning for Business Analytics written by Hemachandran K and published by CRC Press. This book was released on 2022-07-21 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies. Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.

Transforming Teaching and Learning Through Data-Driven Decision Making

Author : Ellen B. Mandinach
Publisher : Corwin Press
ISBN 13 : 1412982049
Total Pages : 281 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Transforming Teaching and Learning Through Data-Driven Decision Making by : Ellen B. Mandinach

Download or read book Transforming Teaching and Learning Through Data-Driven Decision Making written by Ellen B. Mandinach and published by Corwin Press. This book was released on 2012-04-10 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.