Excel 2023 - Manage Your New Career in Data Analysis

Excel 2023 - Manage Your New Career in Data Analysis
Author: Dr Vinod Walwante - डॉ. विनोद वाळवंटे
Publisher: Dr Vinod Radhatai Vishwanath Walwante
Total Pages: 108
Release: 2024-08-21
Genre: Antiques & Collectibles
ISBN: 9334112751

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.

New Career in Data Analytics with Excel 2023

New Career in Data Analytics with Excel 2023
Author: Dr. Vinod Walwante - डॉ. विनोद वाळवंटे
Publisher: Dr Vinod Radhatai Vishwanath Walwante
Total Pages: 108
Release: 2024-08-21
Genre: Antiques & Collectibles
ISBN:

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.

Data Smart

Data Smart
Author: John W. Foreman
Publisher: John Wiley & Sons
Total Pages: 432
Release: 2013-10-31
Genre: Business & Economics
ISBN: 1118839862

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.

Data Analysis with Excel®

Data Analysis with Excel®
Author: Les Kirkup
Publisher: Cambridge University Press
Total Pages: 468
Release: 2002-03-07
Genre: Computers
ISBN: 9780521797375

An essential introduction to data analysis techniques using spreadsheets, for undergraduate and graduate students.

Excel 2016 Bible

Excel 2016 Bible
Author: John Walkenbach
Publisher: John Wiley & Sons
Total Pages: 1155
Release: 2015-10-09
Genre: Computers
ISBN: 1119067499

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.

Data Mining and Predictive Analytics

Data Mining and Predictive Analytics
Author: Daniel T. Larose
Publisher: John Wiley & Sons
Total Pages: 827
Release: 2015-02-19
Genre: Computers
ISBN: 1118868676

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.

Data Mining For Dummies

Data Mining For Dummies
Author: Meta S. Brown
Publisher: John Wiley & Sons
Total Pages: 422
Release: 2014-09-04
Genre: Computers
ISBN: 1118893166

Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

Excel Data Analysis

Excel Data Analysis
Author: Hector Guerrero
Publisher: Springer
Total Pages: 358
Release: 2018-12-14
Genre: Business & Economics
ISBN: 3030012794

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.

Introductory Business Statistics 2e

Introductory Business Statistics 2e
Author: Alexander Holmes
Publisher:
Total Pages: 1801
Release: 2023-12-13
Genre: Business & Economics
ISBN:

Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.