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Author: Dr. Vinod Walwante - डॉ. विनोद वाळवंटे Publisher: Dr Vinod Radhatai Vishwanath Walwante ISBN: Category : Antiques & Collectibles Languages : en Pages : 108
Book Description
Are you starting a new career in data analytics? New Career in Data Analytics with Excel 2023 is your go-to resource for learning how to use Excel 2023 to excel in this dynamic field. This book is designed for both newcomers and those looking to enhance their data analysis skills, offering clear instructions and practical exercises. Learn how to efficiently manage and analyze large datasets, create detailed reports, and apply advanced Excel functions. With the latest features of Excel 2023, including improved data visualization tools and sophisticated formulas, you’ll gain the skills needed to handle complex data tasks with ease. The book covers a wide range of topics, from basic data manipulation to advanced analytical techniques, ensuring you can confidently perform data analysis and make informed decisions. Each chapter includes hands-on activities and real-world examples to help you apply what you’ve learned and gain valuable experience. Whether you’re transitioning into data analytics or aiming to refine your existing skills, New Career in Data Analytics with Excel 2023 provides the tools and knowledge you need to succeed. Start your journey in data analytics today and see how Excel 2023 can help you advance your career.
Author: Dr. Vinod Walwante - डॉ. विनोद वाळवंटे Publisher: Dr Vinod Radhatai Vishwanath Walwante ISBN: Category : Antiques & Collectibles Languages : en Pages : 108
Book Description
Are you starting a new career in data analytics? New Career in Data Analytics with Excel 2023 is your go-to resource for learning how to use Excel 2023 to excel in this dynamic field. This book is designed for both newcomers and those looking to enhance their data analysis skills, offering clear instructions and practical exercises. Learn how to efficiently manage and analyze large datasets, create detailed reports, and apply advanced Excel functions. With the latest features of Excel 2023, including improved data visualization tools and sophisticated formulas, you’ll gain the skills needed to handle complex data tasks with ease. The book covers a wide range of topics, from basic data manipulation to advanced analytical techniques, ensuring you can confidently perform data analysis and make informed decisions. Each chapter includes hands-on activities and real-world examples to help you apply what you’ve learned and gain valuable experience. Whether you’re transitioning into data analytics or aiming to refine your existing skills, New Career in Data Analytics with Excel 2023 provides the tools and knowledge you need to succeed. Start your journey in data analytics today and see how Excel 2023 can help you advance your career.
Author: Dr Vinod Walwante - डॉ. विनोद वाळवंटे Publisher: Dr Vinod Radhatai Vishwanath Walwante ISBN: 9334112751 Category : Antiques & Collectibles Languages : en Pages : 108
Book Description
Starting a new career in data analytics? Excel 2023: Manage Your New Career in Data Analytics with Dr Vinod Walwante - डॉ. विनोद वाळवंटे is the resource to help you develop the necessary Excel skills. This book focuses on practical, real-world applications of Excel 2023, guiding you through key tasks in data analysis. Whether you're just beginning in data analytics or looking to improve your skills, Dr Vinod Walwante - डॉ. विनोद वाळवंटे offers clear instructions and hands-on exercises. Discover how to work with large datasets, create effective reports, and use advanced Excel functions to tackle complex problems. The book covers a wide range of topics, from basic Excel functions to more advanced techniques, aimed at helping you work more efficiently and accurately in data-driven roles. With these skills, you’ll be prepared to handle the challenges of the fast-paced data analytics field. This book is ideal for beginners and those transitioning into data analytics. Excel 2023 offers the knowledge and tools you need to succeed in your new role. Enhance your Excel capabilities and take your data analysis skills to the next level with this valuable resource.
Author: John W. Foreman Publisher: John Wiley & Sons ISBN: 1118839862 Category : Business & Economics Languages : en Pages : 432
Book Description
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.
Author: Robert De Levie Publisher: Oxford University Press, USA ISBN: 0195152751 Category : Computers Languages : en Pages : 631
Book Description
This guide to Excel focuses on three areas--least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data analysis tasks. De Levie is affiliated with Bowdoin College. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Author: Daniel T. Larose Publisher: John Wiley & Sons ISBN: 1118868676 Category : Computers Languages : en Pages : 827
Book Description
Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.
Author: Elliot Bendoly Publisher: Cambridge University Press ISBN: 1139473026 Category : Business & Economics Languages : en Pages : 335
Book Description
Excel Basics to Blackbelt is intended to serve as an accelerated guide to decision support designs. Its structure is designed to enhance the skills in Excel of those who have never used it for anything but possibly storing phone numbers, enabling them to reach a level of mastery that will allow them to develop user interfaces and automated applications. To accomplish this, the major theme of the text is 'the integration of the basic'; as a result readers will be able to develop decision support tools that are at once highly intuitive from a working-components perspective but also highly significant from the perspective of practical use and distribution. Applications integration discussed includes the use of MS MapPoint, XLStat and RISKOptimizer, as well as how to leverage Excel's iteration mode, web queries, visual basic code, and interface development. There are ample examples throughout the text.
Author: John Walkenbach Publisher: John Wiley & Sons ISBN: 1119067499 Category : Computers Languages : en Pages : 1155
Book Description
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.
Author: Conrad Carlberg Publisher: Que Publishing ISBN: 013468382X Category : Business & Economics Languages : en Pages : 585
Book Description
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results
Author: Dr. Vinod Walwante - डॉ. विनोद वाळवंटे 
Author: Dr. Vinod Walwante - डॉ. विनोद वाळवंटे 
Author: Dr Vinod Walwante - डॉ. विनोद वाळवंटे
Author: John W. Foreman
Author: Les Kirkup
Author: Robert De Levie
Author: Daniel T. Larose
Author: Vernon J. Richardson
Author: Elliot Bendoly
Author: John Walkenbach
Author: Conrad Carlberg