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| mastering data analysis in excel: Mastering Excel Through Projects Hong Zhou, 2022 Master Excel in less than two weeks with this unique project-based book! Let's face it, we all master skills in our own way, but building a soup-to-nuts project is one of the best ways to make learning stick and get up to speed quickly. Whether you are just getting started with Excel or are an experienced user, this book will elevate your knowledge and skills. For a beginner, the micro examples in each chapter will warm you up before you dive into the projects. For experienced users, the projects, especially those with table setup considerations, will help you become more creative in your interactions with Excel. Readers will benefit from building eight unique projects, each covering a different topic, including a word game, a food nutrition ranking, a payroll (tax withholding) calculation, an encryption, a two-way table, a Kaplan-Meier analysis, a data analysis via a pivot table and the K-means Clustering data mining method. Through these projects, you will experience firsthand how Excel skills are organized together to accomplish tasks that sound complex and daunting when first described. Get started with a word game which asks users to find English words that amount to exactly 100 points, with each letter of the alphabet assigned a point 1, 2, 3, ... 26, respectively. You will disassemble a word into letters and then sum up their points, and then take it one step further, contemplating how to make the completed Excel worksheet more user friendly and completely automated. Increasingly challenging tasks like this example build on what you have learned and increase your confidence along the way, ensuring your mastery of Excel. What You Will Learn Gain confidence to tackle a challenging Excel-related mission, even those that seem impossible Become skilled in the creative uses of Excel formulas and functions and other built-in features Appreciate the art of refining worksheets to maximize automation Understand the value of treating each worksheet as a unique product This book is for people who are interested in learning Excel as quickly and efficiently as possible. While Excel beginners and intermediate users are the primary audience, experienced Excel users might also discover new skills and ways of working with Excel. Hong Zhou is a professor of computer science and mathematics at the University of Saint Joseph in Connecticut. Before returning to school for his doctoral degree, Dr. Zhou worked as a Java developer in Silicon Valley. Since 2004, Dr. Zhou has been teaching various courses in computer science, data science, mathematics, statistics, and informatics. His major research interests include data mining, bioinformatics, software agents, and blockchain. Dr. Zhou became interested in Excel through teaching computer skills and using them for research purposes; for example, applying Excel in teaching data mining, encryption, and health informatics. He also enjoys applying his Excel skills to help colleagues in their research projects. |
| mastering data analysis in excel: Excel 2016 Bible John Walkenbach, 2015-10-09 The complete guide to Excel 2016, from Mr. Spreadsheet himself Whether you are just starting out or an Excel novice, the Excel 2016 Bible is your comprehensive, go-to guide for all your Excel 2016 needs. Whether you use Excel at work or at home, you will be guided through the powerful new features and capabilities by expert author and Excel Guru John Walkenbach to take full advantage of what the updated version offers. Learn to incorporate templates, implement formulas, create pivot tables, analyze data, and much more. Navigate this powerful tool for business, home management, technical work, and much more with the only resource you need, Excel 2016 Bible. Create functional spreadsheets that work Master formulas, formatting, pivot tables, and more Get acquainted with Excel 2016's new features and tools Customize downloadable templates and worksheets Whether you need a walkthrough tutorial or an easy-to-navigate desk reference, the Excel 2016 Bible has you covered with complete coverage and clear expert guidance. |
| mastering data analysis in excel: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) Wayne Winston, 2021-12-17 Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook |
| mastering data analysis in excel: Mastering Power Query in Power BI and Excel Reza Rad, Leila Etaati, 2021-08-27 Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in a structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else come from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may already be familiar with other data preparation and transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Power Query exists in many Microsoft tools and services such as Power BI, Excel, Dataflows, Power Automate, Azure Data Factory, etc. Through the years, this engine became more powerful. These days, we can say this is essential learning for anyone who wants to do data analysis with Microsoft technology to learn Power Query and master it. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book series. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book series is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is compiled into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (already available to be purchased separately) Mastering Power Query in Power BI and Excel (This book) Power Query dataflows (will be published later) This book deeps dive into real-world challenges of data transformation. It starts with combining data sources and continues with aggregations and fuzzy operations. The book covers advanced usage of Power Query in scenarios such as error handling and exception reports, custom functions and parameters, advanced analytics, and some helpful table and list functions. The book continues with some performance tuning tips and it also explains the Power Query formula language (M) and the structure of it and how to use it in practical solutions. Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query. |
| mastering data analysis in excel: Hallo Microsoft Excel: Mastering Data Analytics Agus Kurniawan, 2024-02-15 Dive into the world of data analytics with Hallo Microsoft Excel: Mastering Data Analytics, a comprehensive guide designed to unlock the full potential of Microsoft Excel as a powerful tool for data analysis. From the basics of data entry and formatting to the complexities of dynamic reports and dashboards, this book demystifies Excel's most advanced features, making them accessible to analysts, data enthusiasts, and professionals seeking to enhance their analytical skills. Through a series of hands-on labs and real-world scenarios inspired by discussions from a vibrant online community, readers will learn to navigate Excel's intricate functionalities with ease and confidence. Hallo Microsoft Excel: Mastering Data Analytics takes you on a journey through the art of data visualization, conditional formatting, growth analysis, and beyond, offering practical instructions and expert tips every step of the way. Whether you're analyzing sales data, exploring market trends, or creating compelling visual reports, this book provides the insights and step-by-step guidance needed to transform raw data into actionable insights. By leveraging Excel's capabilities for interactive reporting, you'll discover how to present data that speaks volumes, making complex analyses understandable and engaging for any audience. Designed with the reader in mind, this book bridges the gap between theoretical knowledge and practical application, ensuring you can apply Excel's data analytics capabilities to your real-world challenges immediately. Hallo Microsoft Excel: Mastering Data Analytics is not just a manual; it's a transformational tool that empowers you to make informed decisions based on robust data analysis. Whether you're a novice eager to learn or a seasoned professional looking to refine your skills, this book is an essential resource for anyone ready to harness the power of Excel for data analytics. |
| mastering data analysis in excel: Data Analysis Using SQL and Excel Gordon S. Linoff, 2010-09-16 Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like. |
| mastering data analysis in excel: Mastering Statistical Analysis with Excel Prof Dr Balasubramanian Thiagarajan, In today’s data-driven world, the ability to analyze and interpret data has become an essential skill for individuals and organizations alike. Statistical analysis, which involves using mathematical methods to analyze and draw conclusions from data, is one of the most powerful tools available for this purpose. While statistical analysis can be performed using various software programs, Microsoft Excel remains one of the most widely used tools for data analysis. Its user-friendly interface, versatile features, and widespread availability make it a popular choice for data analysis, especially for those who are new to statistical analysis. This book, “Mastering Statistical Analysis Using Excel,” is designed to provide readers with a comprehensive guide to using Excel for statistical analysis. Whether you are a beginner or an experienced user of Excel, this book will help you master the fundamentals of statistical analysis and learn how to use Excel to perform a wide range of statistical analyses. The book is organized into chapters that cover different statistical techniques, starting with basic descriptive statistics and progressing to more advanced techniques such as hypothesis testing, regression analysis, and ANOVA. Each chapter includes clear explanations of the concepts, step-by-step instructions for performing the analysis in Excel, and examples to illustrate how to apply the techniques to real-world data. Throughout the book, we focus on practical applications of statistical analysis, with a particular emphasis on using Excel to solve real-world problems. We also include tips and tricks for optimizing your use of Excel, including keyboard shortcuts, Excel functions, and add-ins that can help streamline your analysis. We believe that this book will be a valuable resource for anyone looking to improve their skills in statistical analysis using Excel. Whether you are a student, a business professional, or a researcher, the techniques and tools covered in this book will help you gain valuable insights from your data and make informed decisions based on your findings. |
| mastering data analysis in excel: Excel Data Analysis For Dummies Paul McFedries, 2018-11-13 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. |
| mastering data analysis in excel: Mastering Data Analysis with R Gergely Daroczi, 2015-09-30 Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples. |
| mastering data analysis in excel: Data Smart John W. Foreman, 2013-10-31 Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the data scientist, toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know. |
| mastering data analysis in excel: Data Analysis with Excel® Les Kirkup, 2002-03-07 An essential introduction to data analysis techniques using spreadsheets, for undergraduate and graduate students. |
| mastering data analysis in excel: Microsoft Excel 2019 Data Analysis and Business Modeling Wayne Winston, 2019-03-28 Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel—and build your competitive advantage: Quickly transition from Excel basics to sophisticated analytics Use PowerQuery or Get & Transform to connect, combine, and refine data sources Leverage Office 365’s new Geography and Stock data types and six new functions Illuminate insights from geographic and temporal data with 3D Maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trend curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all of Excel’s great charts Quickly create forecasts from historical time-based data Use Solver to optimize product mix, logistics, work schedules, and investments—and even rate sports teams Run Monte Carlo simulations on stock prices and bidding models Learn about basic probability and Bayes’ Theorem Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook Automate repetitive analytics tasks by using macros |
| mastering data analysis in excel: Excel Data Analysis For Dummies Stephen L. Nelson, E. C. Nelson, 2015-11-30 Want to take the guesswork out of analyzing data? Let Excel do all the work for you! Data collection, management and analysis is the key to making effective business decisions, and if you are like most people, you probably don't take full advantage of Excel's data analysis tools. With Excel Data Analysis For Dummies, 3rd Edition, you'll learn how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers. The beauty of Excel lies in its functionality as a powerful data analysis tool. This easy-to-read guide will show you how to use Excel in conjunction with external databases, how to fully leverage PivotTables and PivotCharts, tips and tricks for using Excel's statistical and financial functions, how to visually present your data so it makes sense, and information about the fancier, more advanced tools for those who have mastered the basics! Once you're up to speed, you can stop worrying about how to make use of all that data you have on your hands and get down to the business of discovering meaningful, actionable insights for your business or organization. Excel is the most popular business intelligence tool in the world, and the newest update – Microsoft Excel 2016 – features even more powerful features for data analysis and visualization. Users can slice and dice their data and create visual presentations that turn otherwise indecipherable reports into easy-to-digest presentations that can quickly and effectively illustrate the key insights you are seeking. Fully updated to cover the latest updates and features of Excel 2016 Learn useful details about statistics, analysis, and visual presentations for your data Features coverage of database and statistics functions, descriptive statistics, inferential statistics, and optimization modeling with Solver Helps anyone who needs insight into how to get things done with data that is unwieldy and difficult to understand With Excel Data Analysis For Dummies, 3rd Edition, you'll soon be quickly and easily performing key analyses that can drive organizational decisions and create competitive advantages. |
| mastering data analysis in excel: Advanced Analytics with Excel 2019 Manisha Nigam, 2020-06-19 Explore different ways and methods to consolidate data, complex analysis, and prediction or forecast based on trends Ê KEY FEATURESÊ _ Ê Ê Use the Analysis ToolPak to perform complex Data analysis _ Ê Ê Get well versed with the formulas, functions, and components in Excel _ Ê Ê Handy templates to give you a head start _ Ê Ê Usage of multiple examples to explain the application in a real-world scenario _ Ê Ê Implement macros for your everyday tasks that will help you save your time _ Ê Ê Explore different Charts types for Data visualization Ê Ê DESCRIPTION Book explains and simplify the usage of Excel features and functionalities, with the help of examples. It starts with ÔGetting Started with ExcelÕ and ÔPerforming functions with shortcut keysÕ which will help you in getting started with Excel. Then ÔFormulas and FunctionsÕ gives an initial understanding of what are operators, formulas, functions, their components. Further ÔData Visualization with new Charts typesÕ, ÔGantt and Milestone chartÕ, ÔSmartArt and Organization ChartÕ give details on the different chart types available in Excel. Ê In the intermediate section you will learn ÔGet creative with Icons, 3D models, Digital InkingÕ details multiple new and improved features that got introduced to enhance the visual presentation. In the end, Chapters ÔMail Merge using ExcelÕ, ÔCreate Custom Excel TemplateÕ and ÔMacros in ExcelÕ explain the Excel features that help in automating tasks. You will learn how to generate multiple documents automatically with customization, create and use your own templates and use of macros to do repeated task automatically. And at last Chapter ÔGet help for your problemÕ lists few problem statements and their probable solutions with references to the Excel feature or functionality that can be used to resolve the problem. Ê Ê Ê WHAT WILL YOU LEARN _ Ê Ê Get familiar with the most used advanced Excel formulas and functions for Data analysis _ Ê Ê Learn how to create a Gantt / Timeline / Milestone Chart in Excel _ Ê Ê Use charts for Better Data visualization _ Ê Ê Build organization charts with SmartArt tools in Excel _ Ê Ê Use the Analysis ToolPak & Power Pivots to perform complex Data analysis _ Ê Ê Learn how to link and share workbooks for automatic updates ÊÊ WHO THIS BOOK IS FOR This book is for professionals from any domain, who are searching for shortcuts & advanced methods to resolve their daily problems.Ê Ê Table of Contents 1.Ê Ê Ê Getting Started with Excel 2.Ê Ê Ê Perform Functions with Shortcut Keys 3.Ê Ê Ê Formulas and Functions 4.Ê Ê Ê Data Visualization with New Chart types 5.Ê Ê Ê Gantt and Milestone Chart 6.Ê Ê Ê SmartArt & Organization Chart 7.Ê Ê Get creative with Icons, 3D models, Digital Inking 8.Ê Ê Ê Putting Data in perspective with Pivots 9.Ê Ê Ê Complex Data Analysis using ToolPak 10.Ê Forecasting in Excel 11.Ê Mail Merge using Excel 12.Ê Create Custom Excel Template 13.Ê Macros in Excel 14.Ê Get help for your problem |
| mastering data analysis in excel: Master Your Data with Power Query in Excel and Power BI Miguel Escobar, Ken Puls, 2021-11-01 Power Query is the amazing new data cleansing tool in both Excel and Power BI Desktop. Do you find yourself performing the same data cleansing steps day after day? Power Query will make it faster to clean your data the first time. While Power Query is powerful, the interface is subtle—there are tools hiding in plain sight that are easy to miss. Go beyond the obvious and take Power Query to new levels with this book. |
| mastering data analysis in excel: Data Analytics for Beginners Paul Kinley, 2016-11-03 DATA ANALYTICS FOR BEGINNER: IN ORDER TO SUCEED IN TODAYS'Ss FAST PACE BUSINESS ENVIRONEMNT, YOU NEED TO MASTER DATA ANALYTICS. Data Analytics is the most powerful tool to analyze today's business environment and to predict future developments. Is it not the dream of every business owner to know exactly what the customer will buy in 6 months or what the new product hype will look like in your OWN industry? Data Analytics is the tool that will bring you answers to these questions. Here's why Data Analytics for Beginners will bring your business to a complete new level: How you can use data analytics to improve your business How to plan data analysis to know exactly what your target group wants How to implement descriptive analysis You will learn the exact techniques that are required to master Data Analytics Our customer's feedback I am the owner of a home supplies shop with 15 employees and this book improved the sales by 18,5% during the last 3 months. Richard S., Boston. Data Analytics for Beginners was a eye opener for me and my business. With this book I research all of my products on sale and my skills about the market I am in enhanced drastically. I can recommend this book to everyone that is planning to improve the business. Anamda R., Sacramento. During my IT studies this book supported me a lot with anaylsis about future business trends. This book has a easy to understand writing style without any expert language. In other words: every beginner can work with this book right away.Thomas E., Baltimore. Here's what you will get Planning a Study Surveys Experiments Gathering Data How to select useful samples Avoiding Bias in Data Sets Descriptive Analysis Mean Median Mode Variance Standard Deviation Coefficient of Variation Pie Charts How to create Pie Charts in Excel Bar Graphs How to Create Bar Charts in Excel Time Charts and Line Charts How to create a time chart in excel How to create a line chart in excel Histograms How to create a histogram in Excel Scatter Plots How to create a Scatter Chart in Excel Business Intelligence Data Analytics in Business and Industry |
| mastering data analysis in excel: Mastering Excel 2019 Nathan George, 2020-12-23 |
| mastering data analysis in excel: Advanced Excel Success Alan Murray, 2021-02-26 Explore advanced skills in Excel and gain an amazing array of tricks and tools to increase your productivity. This book discusses new techniques such as power functions, chart tricks, and many more to master Excel. Advanced Excel Success starts with a few useful data tools in Excel followed by advanced formulas that will help you increase productivity. Here, you will learn power functions that aggregate, return ranges, and much more. Further, you will look at custom formatting tricks along with advanced charting tricks. These include automatically changing the color of key metrics, dynamically sorting chart data, and building creative labels. Next, you will understand the role of Power Query which is one of the most important upgrades in Excel. Power Query is the Microsoft Data Connectivity and Data Preparation technology that enables business users to seamlessly access data stored in hundreds of data sources and reshape it to fit their needs, with an easy–to-use, engaging, and no-code user experience. Finally, you will learn Power Pivot which is a distinct feature in Excel that goes beyond spreadsheets. After reading this book, you will be well equipped to work on Excel with its advanced features. What You Will Learn Work with the most useful data tools Understand formulas and the ten power functions Use advanced chart and formatting tricks and techniques for dynamic and effective visuals Work with power tools Who This Book Is For Excel users looking to take the next step to expert level. |
| mastering data analysis in excel: Microsoft Excel 2013 Data Analysis and Business Modeling Wayne Winston, 2014-01-15 Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook. Solve real business problems with Excel—and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Explore new trends in predictive and prescriptive analytics Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Make your charts more effective with the Power View tool Tame complex optimization problems with Excel Solver Run Monte Carlo simulations on stock prices and bidding models Apply important modeling tools such as the Inquire add-in |
| mastering data analysis in excel: Excel Data Analysis Hector Guerrero, 2018-12-14 This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations. |
| mastering data analysis in excel: Excel Insights MrExcel's Holy Macro! Books, 24 Excel MVPs, 2024-10-01 Unlock the full potential of Excel with advanced tips and techniques covering everything from formulas to VBA. Key Features Advanced Excel features, from custom formatting to dynamic arrays Data analysis and visualization with Power Query and charts Detailed explanation of VBA for task automation and efficiency Book DescriptionDive into the world of advanced Excel techniques designed to elevate your data analysis skills. Start with mastering custom number formatting, efficient data entry, and powerful formulas like INDEX MATCH. Explore Excel's evolving features, including dynamic arrays and new data types, ensuring you stay at the forefront of the latest tools. The course then guides you through creating impactful charts for presentations and advanced filtering techniques. You’ll also discover the transformative power of Power Query, allowing you to manipulate and combine data with ease. With chapters on financial modeling and creative Excel model development, you’ll learn to solve complex problems and develop innovative solutions. Finally, the course introduces you to VBA, teaching you how to automate tasks and create custom worksheet functions, equipping you with the skills to enhance your workflows. By the end of the course, you’ll have a robust understanding of Excel's advanced features, empowering you to handle any data challenge with confidence and creativity.What you will learn Master custom number formatting Utilize INDEX MATCH effectively Create dynamic arrays Build advanced charts Automate with Power Query Develop VBA functions Who this book is for Ideal for intermediate to advanced Excel users, data analysts, and financial modelers. Readers should have a basic understanding of Excel. Prior experience with Excel formulas, charts, and data management is recommended. |
| mastering data analysis in excel: Data Analysis with Microsoft Excel Kenneth N. Berk, Patrick Carey, 2009 The latest book from Cengage Learning on Data Analysis with Microsoft« ExcelÖ |
| mastering data analysis in excel: Excel 2019 Bible Michael Alexander, Richard Kusleika, John Walkenbach, 2018-09-20 The complete guide to Excel 2019 Whether you are just starting out or an Excel novice, the Excel 2019 Bible is your comprehensive, go-to guide for all your Excel 2019 needs. Whether you use Excel at work or at home, you will be guided through the powerful new features and capabilities to take full advantage of what the updated version offers. Learn to incorporate templates, implement formulas, create pivot tables, analyze data, and much more. Navigate this powerful tool for business, home management, technical work, and much more with the only resource you need, Excel 2019 Bible. Create functional spreadsheets that work Master formulas, formatting, pivot tables, and more Get acquainted with Excel 2019's new features and tools Whether you need a walkthrough tutorial or an easy-to-navigate desk reference, the Excel 2019 Bible has you covered with complete coverage and clear expert guidance. |
| mastering data analysis in excel: Excel Data Analysis by Examples Thanh Tran, 2019-07-19 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.* Table of Contents: Chapter 1. SortChapter 2. FilterChapter 3. Conditonal FormattingChapter 4. ChartsChapter 5. Pivot TablesChapter 6. TablesChapter 7. What-If AnalysisChapter 8. SolverChapter 9. Analysis ToolPak+ Provides a clear look at power-using Excel, the world's leading spreadsheet application from Microsoft+ Expands your Excel knowledge and helps you use Excel data more efficiently+ Demonstrates how to retrieve data from databases; cut, slice, and pivot data using PivotTables; model data and chart data; and use advanced formulas+ Includes practical examples, tips to help you get the most out of Excel's features and function |
| mastering data analysis in excel: Mastering Excel Mark Moore, 2017-05-23 Welcome another lesson in the Mastering Excel series. This lesson is a slight departure from previous lessons. This lesson is looking into the future and delving into what Excel is becoming: a powerhouse for data analysis. Power Query is the first step in analyzing data, before you do any substantial analysis, you need to get the data into Excel. Not only get data into Excel but probably clean it up. Parse columns, join columns, remove errors, you know, that kind of stuff.Of course, you can add a column with formulas to do this. That will work for 100 or 1,000 rows of data. What about 250,000, 700,000 or even 1,000,000 rows? Excel really slows down with that many calculations. Power Query solves this. It shapes the data before it gets into Excel. You will learn how to use Power query to split columns, parse data, check for errors, get data from multiple files in a folder, and more. Power Query remembers all the steps you took. To get new data, you simply have to click the 'Refresh' button.***OK, THIS IS IMPORTANT***Power Query is a new feature in Excel. It is standard in Excel 2016 and it can be installed in some previous versions of Excel, but not all. Before buying this lesson, please go to this Microsoft website, check out the requirements and try to install Power Query.https://www.microsoft.com/en-us/download/details.aspx'id=39379If you cannot install Power Query because you do not have the correct version of Excel, you will not be able to follow along with this lesson. |
| mastering data analysis in excel: Automated Data Analysis Using Excel Brian D. Bissett, 2020 This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboard, and basic Sharepoint integration. It shows how to automate operations, such as curve fitting, sorting, filtering, and analyzing data from a variety of sources. The book allows users to analyze data and automate the preparation of custom reports and demonstrates how to assign Excel VBA code to the new Ribbon user interface. |
| mastering data analysis in excel: Data at Work Jorge Camões, 2016-04-08 Information visualization is a language. Like any language, it can be used for multiple purposes. A poem, a novel, and an essay all share the same language, but each one has its own set of rules. The same is true with information visualization: a product manager, statistician, and graphic designer each approach visualization from different perspectives. Data at Work was written with you, the spreadsheet user, in mind. This book will teach you how to think about and organize data in ways that directly relate to your work, using the skills you already have. In other words, you don’t need to be a graphic designer to create functional, elegant charts: this book will show you how. Although all of the examples in this book were created in Microsoft Excel, this is not a book about how to use Excel. Data at Work will help you to know which type of chart to use and how to format it, regardless of which spreadsheet application you use and whether or not you have any design experience. In this book, you’ll learn how to extract, clean, and transform data; sort data points to identify patterns and detect outliers; and understand how and when to use a variety of data visualizations including bar charts, slope charts, strip charts, scatter plots, bubble charts, boxplots, and more. Because this book is not a manual, it never specifies the steps required to make a chart, but the relevant charts will be available online for you to download, with brief explanations of how they were created. |
| mastering data analysis in excel: M Is for (Data) Monkey Ken Puls, Miguel Escobar, 2015-06-01 Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and M is the name of the programming language created by it. As more business intelligence pros begin using Power Pivot, they find that they do not have the Excel skills to clean the data in Excel; Power Query solves this problem. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting. |
| mastering data analysis in excel: Getting started with Power Query in Power BI and Excel Reza Rad, Leila Etaati, 2021-08-27 Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in the structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else comes from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may be already familiar with some other data preparation and data transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Unfortunately, because Power Query and data preparation is the kitchen work of the BI system, many Power BI users skip the learning of it and become aware of it somewhere along their BI project. Once they get familiar with it, they realize there are tons of things they could have implemented easier, faster, and in a much more maintainable way using Power Query. In other words, they learn mastering Power Query is the key skill toward mastering Power BI. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is complied into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (this book) Mastering Power Query in Power BI and Excel (already available to be purchased separately) Power Query dataflows (will be published later) Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query. |
| mastering data analysis in excel: Basic Marketing Research Alvin C. Burns, Ronald F. Bush, 2004-07-01 For undergraduate Marketing Research courses. Best-selling authors Burns and Bush are proud to introduce Basic Marketing Research, the first textbook to utitlize EXCEL as a data analysis tool. Each copy includes XL Data Analyst(R), a user-friendly Excel add-in for data analysis. This book is also a first in that it's a streamlined paperback with an orientation that leans more toward how to use marketing research information to make decisions vs. how to be a provider of marketing research information. |
| mastering data analysis in excel: Power Excel with MrExcel Bill Jelen, 2015 Updating the previous edition's tips to include features in Excel 2013, this new edition of Mr. Excel's popular software guide even incorporates suggestions sent in by readers. Each featured topic has a problem statement and description, followed by a broad strategy for solving the problem. Mr. Excel then walks readers through the specific steps to solve the issue. Alternate strategies are also provided, along with common gotchas that trip users up, leaving readers with not only answers to their specific dilemmas but also new and quicker ways to use formulas and spreadsheets. |
| mastering data analysis in excel: Collect, Combine, and Transform Data Using Power Query in Excel and Power BI Gil Raviv, 2018-10-08 Using Power Query, you can import, reshape, and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI, and other Microsoft products, and leading Power Query expert Gil Raviv will help you make the most of it. Discover how to eliminate time-consuming manual data preparation, solve common problems, avoid pitfalls, and more. Then, walk through several complete analytics challenges, and integrate all your skills in a realistic chapter-length final project. By the time you’re finished, you’ll be ready to wrangle any data–and transform it into actionable knowledge. Prepare and analyze your data the easy way, with Power Query · Quickly prepare data for analysis with Power Query in Excel (also known as Get & Transform) and in Power BI · Solve common data preparation problems with a few mouse clicks and simple formula edits · Combine data from multiple sources, multiple queries, and mismatched tables · Master basic and advanced techniques for unpivoting tables · Customize transformations and build flexible data mashups with the M formula language · Address collaboration challenges with Power Query · Gain crucial insights into text feeds · Streamline complex social network analytics so you can do it yourself For all information workers, analysts, and any Excel user who wants to solve their own business intelligence problems. |
| mastering data analysis in excel: Statistics for Ecologists Using R and Excel Mark Gardener, 2017-01-16 This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. – Amazon 5-star review It has been very easy to follow and will be perfect for anyone. – Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review |
| mastering data analysis in excel: Data Visualization with Excel Dashboards and Reports Dick Kusleika, 2021-02-05 Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to have the technical skills to use Excel in a productive manner but must be able to synthesize data into a story, and then present that story in the most impactful way. Microsoft shows its recognition of this with Excel. In Excel, there is a major focus on business intelligence and visualization. Data Visualization with Excel Dashboards and Reports fills the gap between handling data and synthesizing data into meaningful reports. This title will show readers how to think about their data in ways other than columns and rows. Most Excel books do a nice job discussing the individual functions and tools that can be used to create an Excel Report. Titles on Excel charts, Excel pivot tables, and other books that focus on Tips and Tricks are useful in their own right; however they don't hit the mark for most data analysts. The primary reason these titles miss the mark is they are too focused on the mechanical aspects of building a chart, creating a pivot table, or other functionality. They don't offer these topics in the broader picture by showing how to present and report data in the most effective way. What are the most meaningful ways to show trending? How do you show relationships in data? When is showing variances more valuable than showing actual data values? How do you deal with outliers? How do you bucket data in the most meaningful way? How do you show impossible amounts of data without inundating your audience? In Data Visualization with Excel Reports and Dashboards, readers will get answers to all of these questions. Part technical manual, part analytical guidebook; this title will help Excel users go from reporting data with simple tables full of dull numbers, to creating hi-impact reports and dashboards that will wow management both visually and substantively. This book offers a comprehensive review of a wide array of technical and analytical concepts that will help users create meaningful reports and dashboards. After reading this book, the reader will be able to: Analyze large amounts of data and report their data in a meaningful way Get better visibility into data from different perspectives Quickly slice data into various views on the fly Automate redundant reporting and analyses Create impressive dashboards and What-If analyses Understand the fundamentals of effective visualization Visualize performance comparisons Visualize changes and trends over time |
| mastering data analysis in excel: Python Data Science Handbook Jake VanderPlas, 2016-11-21 For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms |
| mastering data analysis in excel: Excel Sam O.a, 2023-09-10 |
| mastering data analysis in excel: Exam Ref 70-779 Analyzing and Visualizing Data by Using Microsoft Excel Chris Sorensen, 2018-04-28 Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft 70-779 Analyzing and Visualizing Data by Using Microsoft Excel certification exam. Exam Ref 70-779 Analyzing and Visualizing Data by Using Microsoft Excel offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to successfully consume, transform, model, and visualize data with Excel 2016. Coverage includes: Importing data from external data sources Working with Power Query Designing and implementing transformations Applying business rules Cleansing data Creating performance KPIs And much more Microsoft Exam Ref publications stand apart from third-party study guides because they: Provide guidance from Microsoft, the creator of Microsoft certification exams Target IT professional-level exam candidates with content focused on their needs, not one-size-fits-all content Streamline study by organizing material according to the exam's objective domain (OD), covering one functional group and its objectives in each chapter Feature Thought Experiments to guide candidates through a set of what if? scenarios, and prepare them more effectively for Pro-level style exam questions Explore big picture thinking around the planning and design aspects of the IT pro's job role For more information on Exam 70-779 and the MCSA: BI Reporting credential, visit microsoft.com/learning. |
| mastering data analysis in excel: Microsoft Office Excel 2007 Wayne L. Winston, 2007 Provides an introduction to data analysis and business modeling using Microsoft Excel. |
| mastering data analysis in excel: Microsoft Excel Functions Quick Reference Mandeep Mehta, 2021-01-08 This condensed syntax reference presents the essential Excel function syntax in a well-organized format that can be used as a quick and handy reference. You can use it to improve your Excel knowledge and increase your productivity. It will help you upgrade the quality of your data analysis, dashboards, models, and templates. The Microsoft Excel Functions Quick Reference helps you set up workbooks, enter data, and format it for easier viewing. It starts by giving an overview of Excel functions explaining the different types of Excel functions available followed by an understanding of string functions and date functions. It then covers time, lookup, aggregate, and logical functions along with practice problems. Further, you will see math functions and information functions in Excel. You will also be able to create sophisticated forecast worksheets, key performance indicators (KPIs), and timelines. Each function in the text is illustrated by helpful, illuminating examples. With this book by your side, you'll always have the answer to your Excel function syntax questions. What You Will Learn Work with basic Excel functions Use the LOOKUP function Take advantage of new functions in information functions Create a mega formula Who This Book Is For Administrators, analysts, and anyone else working with Microsoft Excel. |
| mastering data analysis in excel: MrExcel XL Bill Jelen, Szilvia Juhasz, 2015-09 The 40 essential tips that all Excel users need to know. Crowdsourced by more than 300 contributors who collaborated on choosing the 40 best Excel tips, MrExcel XL provides users with a concise book that can be absorbed in under an hour. Includes a bonus 30 tips, keyboard shortcuts, Excel jokes, Excel cocktails. Anyone who uses Excel will be able to turn to any page and pick up tips that will save them hours of work. |
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Mastering Excel Mark Moore,2017-05-23 Welcome another lesson in the Mastering Excel series. This lesson is a slight departure from previous lessons. This lesson is looking into the future and delving into what Excel is becoming: a powerhouse for data analysis. Power Query is the first step in analyzing data, before you do any substantial ...
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vii. Contents. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxiii
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Mastering Excel Power Query - 139.162.192.125 This bundle contains the following lessons: * Mastering Excel: Power Query (Get data form external sources) * Mastering Excel: Power Pivot (Create a data model with tables and Mastering Excel Power Query Master Your Data with Power Query in Excel and Power BI Miguel Escobar,Ken Puls,2021-11-01 Power ...
Graphing Individual Student Data With Microsoft Excel™ - VUMC
How do I separate data points? 1. Left-click on the data point to the left of where you want the break in the line to occur. All of the line’s data points will be highlighted. Left-click on this same point again, and it should be the only data point highlighted. 2. Right-click on the next data point to the right and select FORMAT DATA POINT. 3.
Mastering Excel Formula Tips And Tricks - resources.caih.jhu.edu
Mastering Excel Formula Tips And Tricks ... You'll learn to apply the Top Excel Formulas to make your data analysis easier. 101 Best Excel Tips & Tricks Bryan Hong,John Michaloudis,2021-03-19 Learn the Best Excel Tips & Tricks Ever: FORMULAS, MACROS, PIVOT TABLES, FORMATTING, DATA, MICROSOFT OFFICE 365 plus Many More! With this book,
Mastering Excel Interactive Charts - resources.caih.jhu.edu
3 Oct 2023 · But Excel offers a large number of charts and graphing tools that complement its data analysis toolset. This course offers a laser-focused, practical guide to over 20 useful Excel charts and graphs for data visualization. Mastering Excel Interactive Charts PDF files are designed to retain their formatting regardless of the device used to open
Microsoft Excel 2019 Fundamentals Workshop - University of …
20 Sep 2019 · Microsoft Excel is a powerful electronic spreadsheet program you can use to automate accounting work, organize data, and perform a wide variety of tasks. Excel is designed to perform calculations, analyze information, and visualize data in a spreadsheet. Also this application includes database and charting features. A. Launch Excel
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Gambar 1: Fitur mengaktifkan Menu Data Analysis pada Toolspack Excel Gambar 2. Fitur Data Analysis di Excel . Rusli, et.al | Panrannuangku Jurnal Pengabdian Masyarakat, ...
