Beginning Excel What If Data Analysis Tools
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Beginning Excel What If Data Analysis Tools
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Author : Paul Cornell
language : en
Publisher: Apress
Release Date : 2006-11-09
Beginning Excel What If Data Analysis Tools written by Paul Cornell and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-09 with Computers categories.
Excels what-if data analysis tools let you experiment with your data to project future results. In turn, these predictions will lead to better decision making and unlock the mystery of many business analysis scenarios. For example, what-if data analysis tools will enable you to forecast how lowering the price per unitwhile increasing projected unit salesmight affect your profit margins. Beginning Excel What-If Data Analysis Tools explores the use of Goal Seek, Data Tables, Scenarios, and Solver to help you get insight on your data. This book is focused and to the point, and it provides tutorial treatment of what-if tools in a practical, hands-on manner.
Business Analytics For Beginners Make Data Work For You No Phd Required
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Author : Favour Emeli
language : en
Publisher: Recorded Books
Release Date : 2025-01-28
Business Analytics For Beginners Make Data Work For You No Phd Required written by Favour Emeli and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-28 with Business & Economics categories.
Data is one of the most powerful assets a business can have—but you don’t need a PhD in data science to make it work for you. Business Analytics for Beginners breaks down the basics of data analysis and shows you how to use business analytics tools to improve decision-making and drive growth. From understanding key performance indicators (KPIs) to analyzing customer data and forecasting future trends, this book teaches you how to unlock insights that lead to smarter business strategies. This beginner-friendly guide explains complex concepts in simple terms, making it accessible for entrepreneurs and small business owners without a technical background. Business Analytics for Beginners equips you with the tools to make data-driven decisions that give your business a competitive edge, whether you’re in retail, service, or any other industry.
Excel Data Analysis For Dummies
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Author : Paul McFedries
language : en
Publisher: John Wiley & Sons
Release Date : 2018-10-30
Excel Data Analysis For Dummies written by Paul McFedries and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Computers categories.
Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you.
Basic Computational Techniques For Data Analysis
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Author : D Narayana
language : en
Publisher: Taylor & Francis
Release Date : 2023-06-20
Basic Computational Techniques For Data Analysis written by D Narayana and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Business & Economics categories.
1. This book is designed to equip students to navigate through MS Excel spreadsheets to compute various statistical and financial measures and use them in data analysis. 2. It provides an in-depth and clear understanding of data analysis along with suitable illustrations. 3. It will be useful to students and departments of economics, commerce, management, financial technology, basic computational techniques, data analysis, and applied economics across UK and USA.
Beginning Realbasic
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Author : Jerry Lee Jr. Ford
language : en
Publisher: Apress
Release Date : 2006-11-22
Beginning Realbasic written by Jerry Lee Jr. Ford and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-22 with Computers categories.
REALbasic is an easy-to-learn, powerful, cross-platform programming language, allowing you to write powerful applications that can be distributed across Windows, Mac, and Linux. This is a classic, no-fluff, tutorial-based book, ideal for: - Anyone wanting to master REALbasic - Anyone wanting to get into programming and produce their own applications easily and painlessly - REALbasic is very easy to pick up - Experienced VB programmers wanting an alternative, now that Microsoft have discontinued support for it. REALbasic is very similar to VB. - Any level of programmer wanting to create applications that can be ported to Windows, Mac, and Linux REALbasic’s success is proven - there are already over 100,000 users, and this number is steadily growing. In a recent promotional effort, 35,000 Visual Basic developers downloaded a free copy of the Windows version of REALbasic, and REAL software has had many requests for decent beginning title on the subject. As far as we know, this is the only up-to-date book planned for the current version, REALbasic 2005, which matches that description. REAL software are enthusiastic about helping us sell the book.
Unlocking The Power Of Data A Beginner S Guide To Data Analysis
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Author : Balasubramanian Thiagarajan
language : en
Publisher: Otolaryngology online
Release Date : 2023-06-13
Unlocking The Power Of Data A Beginner S Guide To Data Analysis written by Balasubramanian Thiagarajan and has been published by Otolaryngology online this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-13 with Computers categories.
Welcome to the world of data analysis! In today's data-driven era, the ability to effectively analyze and derive insights from data has become a vital skill for individuals and organizations across various domains. This book aims to serve as your comprehensive guide to understanding and performing data analysis, from the fundamental concepts to the practical applications. Chapter 1 introduces you to the fascinating realm of data analysis. We delve into the importance of data analysis in decision-making processes and highlight its role in gaining valuable insights and making informed choices. Understanding the power of data analysis sets the foundation for your journey ahead. Chapter 2 focuses on data entry, a crucial step in the data analysis process. We explore different methods and techniques for entering data accurately, ensuring the reliability and integrity of your dataset. Effective data entry practices are essential for obtaining meaningful results. In Chapter 3, we explore the different types of data analysis. Whether it's exploratory, descriptive, diagnostic, predictive, or prescriptive analysis, you will gain an understanding of each type and when to employ them in various scenarios. This chapter equips you with the knowledge to choose the appropriate analysis technique for your specific needs. To lay the groundwork for your data analysis journey, Chapter 4 familiarizes you with the basic terminology commonly used in the field. From variables and observations to measures of central tendency and variability, this chapter ensures you have a solid grasp of the foundational concepts necessary for effective data analysis. Chapter 5 focuses on setting up your data analysis environment. We guide you through the process of installing the necessary software and configuring your data workspace. Creating an optimal environment is crucial for seamless and efficient data analysis. Data preprocessing takes center stage in Chapter 6. We delve into the essential steps of data cleaning, transformation, and handling missing values. By mastering these techniques, you will be able to prepare your data for analysis, ensuring its quality and usability. In Chapter 7, we explore the exciting world of data exploration and visualization. Understanding the distribution of data and identifying relationships between variables are key aspects of uncovering meaningful insights. We delve into creating various charts and graphs to visually represent data, aiding in its interpretation and analysis. Chapter 8 introduces you to statistical analysis techniques. Descriptive statistics help us summarize and describe data, while inferential statistics enable us to make inferences and draw conclusions about populations based on sample data. Additionally, hypothesis testing allows us to validate our assumptions and test specific predictions. Predictive analytics takes the spotlight in Chapter 9. We explore techniques such as linear and logistic regression, decision trees, and clustering algorithms. These techniques empower you to make predictions and forecasts based on historical data, providing valuable insights for decision-making. Chapter 10 is dedicated to machine learning, an exciting field within data analysis. We introduce the fundamentals of machine learning, including supervised and unsupervised learning algorithms. Understanding these concepts opens doors to more advanced data analysis techniques and applications. Ethics in data analysis takes center stage in Chapter 11. We delve into the critical considerations of privacy concerns, data bias, and fairness in data analysis. Ethical data practices are crucial to ensure the responsible and ethical use of data in analysis. Chapter 12 explores the wide-ranging applications of data analysis. We delve into the domains of business analytics, healthcare analytics, sports analytics, and social media analytics, highlighting how data analysis drives insights and informs decision-making in these fields. Finally, Chapter 13 serves as a conclusion and sets you on the path for further learning and development. We recap the key concepts covered in the book, provide tips for advancing your data analysis skills, and discuss future trends and innovations in the field. We hope this book serves as a valuable resource in your data analysis journey. Whether you are a student, professional, or data enthusiast, we believe that understanding and applying data analysis.
Excel Data Analysis For Dummies
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Author : Stephen L. Nelson
language : en
Publisher: John Wiley & Sons
Release Date : 2016
Excel Data Analysis For Dummies written by Stephen L. Nelson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computers categories.
Excel is the number-one spreadsheet application, with ever-expanding capabilities. If you're only using it to balance the books, you're missing out on a host of functions that can benefit your business or personal finances by uncovering trends and other important information hidden within the numbers.
Excel As Your Database
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Author : Paul Cornell
language : en
Publisher: Apress
Release Date : 2007-04-01
Excel As Your Database written by Paul Cornell and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-01 with Computers categories.
This book shows beginning users how to manage their data using one of the world’s most popular programs - Excel — without investing time and money in complex databases such as Access. We’ve written and organized the book for readers who know something about Excel but nothing about databases. We provide quick start solutions, step-by-step exercises, try-it-out sections, troubleshooting, and best practices solutions.
Excel Skills For Beginners
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Author : Jonathan K. Hari
language : en
Publisher: epubli
Release Date : 2025-06-24
Excel Skills For Beginners written by Jonathan K. Hari and has been published by epubli this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
Excel Skills for Beginners Learn Essential Functions, Formulas, and Data Analysis (Master Excel for Work, Business, and Productivity) Excel is more than just a spreadsheet program—it's a powerful tool that can transform how you work with data, streamline your daily tasks, and boost your productivity. Whether you're a complete beginner or someone looking to sharpen your skills, this book provides the essential knowledge you need to master Excel with confidence. Inside This Book, You'll Discover: Introduction to Excel and Its Interface Mastering Formulas and Functions Data Formatting and Conditional Formatting Using Tables for Data Management Introduction to Pivot Tables and Pivot Charts Automating Tasks with Power Query Data Analysis with Excel (Lookup Functions, What-If Analysis, etc.) With easy-to-follow explanations, step-by-step tutorials, and practical exercises, this book ensures that you'll gain the hands-on experience needed to apply Excel skills in real-world scenarios. From organizing data efficiently to performing advanced calculations and automating repetitive tasks, you'll unlock Excel's full potential to save time and increase accuracy. Whether you're using Excel for business, finance, education, or personal productivity, this guide is your key to becoming proficient in one of the most valuable software tools in the modern workplace. Scroll Up and Grab Your Copy Today!
Data Analytics With Python For Beginners
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Author : Dr Gurpreet Singh Chhabra
language : en
Publisher: INENCE PUBLICATIONS PVT LTD
Release Date : 2022-12-05
Data Analytics With Python For Beginners written by Dr Gurpreet Singh Chhabra and has been published by INENCE PUBLICATIONS PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-05 with Computers categories.
Data is the fuel of 21st century. The advanced technological development has brought a massive increase in the volume and spectrum of data by including text, image and video data. Data Analytics Using Python aims to make readers understand the applications of analytics in different domains with proper code and explanation. The book starts from basics of Python and gradually increases its level to machine learning. Significant focus has also been laid on deep learning and applications – neural network models like MLP, RNN and CNN; trained models for text and image data and development of chatbots.