Modern Data Analytics In Excel

Author : George Mount
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098148789
Total Pages : 238 pages
Book Rating : 4.82/5 ( download)

DOWNLOAD NOW!

Download or read book Modern Data Analytics in Excel written by George Mount and published by "O'Reilly Media, Inc.". This book was released on 2024-04-26 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to: Build repeatable data cleaning processes for Excel with Power Query Create relational data models and analysis measures with Power Pivot Pull data quickly with dynamic arrays Use AI to uncover patterns and trends from inside Excel Integrate Python functionality with Excel for automated analysis and reporting

Author : George Mount
Publisher :
ISBN 13 : 9781098148829
Total Pages : 0 pages
Book Rating : 4.27/5 ( download)

DOWNLOAD NOW!

Download or read book Modern Data Analytics in Excel written by George Mount and published by . This book was released on 2024-05-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to: Build repeatable data cleaning processes for Excel with Power Query Create relational data models and analysis measures with Power Pivot Pull data quickly with dynamic arrays Use AI to uncover patterns and trends from inside Excel Integrate Python functionality with Excel for automated analysis and reporting

Author : George Mount
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098148797
Total Pages : 244 pages
Book Rating : 4.99/5 ( download)

DOWNLOAD NOW!

Download or read book Modern Data Analytics in Excel written by George Mount and published by "O'Reilly Media, Inc.". This book was released on 2024-04-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to: Build repeatable data cleaning processes for Excel with Power Query Create relational data models and analysis measures with Power Pivot Pull data quickly with dynamic arrays Use AI to uncover patterns and trends from inside Excel Integrate Python functionality with Excel for automated analysis and reporting

Author : Ash Narayan Sah
Publisher : Excel Books India
ISBN 13 : 9788174467164
Total Pages : 220 pages
Book Rating : 4.65/5 ( download)

DOWNLOAD NOW!

Download or read book Data Analysis Using Microsoft Excel written by Ash Narayan Sah and published by Excel Books India. This book was released on with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Anouar BEN ZAHRA
Publisher : Anouar BEN ZAHRA
ISBN 13 :
Total Pages : 319 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Download or read book Azure Modern Data Architecture written by Anouar BEN ZAHRA and published by Anouar BEN ZAHRA. This book was released on with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key Features Discover the key drivers of successful Azure architecture Practical guidance Focus on scalability and performance Expert authorship Book Description This book presents a guide to design and implement scalable, secure, and efficient data solutions in the Azure cloud environment. It provides Data Architects, developers, and IT professionals who are responsible for designing and implementing data solutions in the Azure cloud environment with the knowledge and tools needed to design and implement data solutions using the latest Azure data services. It covers a wide range of topics, including data storage, data processing, data analysis, and data integration. In this book, you will learn how to select the appropriate Azure data services, design a data processing pipeline, implement real-time data processing, and implement advanced analytics using Azure Databricks and Azure Synapse Analytics. You will also learn how to implement data security and compliance, including data encryption, access control, and auditing. Whether you are building a new data architecture from scratch or migrating an existing on premises solution to Azure, the Azure Data Architecture Guidelines are an essential resource for any organization looking to harness the power of data in the cloud. With these guidelines, you will gain a deep understanding of the principles and best practices of Azure data architecture and be equipped to build data solutions that are highly scalable, secure, and cost effective. What You Need to Use this Book? To use this book, it is recommended that readers have a basic understanding of data architecture concepts and data management principles. Some familiarity with cloud computing and Azure services is also helpful. The book is designed for data architects, data engineers, data analysts, and anyone involved in designing, implementing, and managing data solutions on the Azure cloud platform. It is also suitable for students and professionals who want to learn about Azure data architecture and its best practices.

Author : Agus Kurniawan
Publisher : Ilmu Data Publisher
ISBN 13 :
Total Pages : 201 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Download or read book Hallo Microsoft Excel: Mastering Data Analytics written by Agus Kurniawan and published by Ilmu Data Publisher. This book was released on 2024-02-15 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Amit Gupta
Publisher : Pendown Press Powered by Gullybaba Publishing House Pvt. Ltd.
ISBN 13 : 939126669X
Total Pages : 87 pages
Book Rating : 4.91/5 ( download)

DOWNLOAD NOW!

Download or read book Reclaim your market Share with modern data analytics written by Amit Gupta and published by Pendown Press Powered by Gullybaba Publishing House Pvt. Ltd.. This book was released on 2022-06-01 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the digital landscape constantly evolves and becomes more competitive, businesses need to continue adapting at a breakneck pace to keep up with customer demands. These days, nearly everything about running a business has changed. How we communicate and interact with potential and current customers, monetize and promote our offerings, and even how we think about our place in the world. This book is for growth-hungry business owners ready to take their businesses to the next level – if you’re ready to start growing your business instead of just managing it. This book will show you how to be as effective as possible by spending only 4 hours a week on your business!

Author : Nick Jewell, PhD
Publisher : TinyTechMedia LLC
ISBN 13 :
Total Pages : 129 pages
Book Rating : 4.86/5 ( download)

DOWNLOAD NOW!

Download or read book Mastering the Modern Data Stack written by Nick Jewell, PhD and published by TinyTechMedia LLC. This book was released on 2023-09-28 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of digital transformation, becoming overwhelmed by the sheer volume of potential data management, analytics, and AI solutions is common. Then it's all too easy to become distracted by glossy vendor marketing, and then chase the latest shiny tool, rather than focusing on building resilient, valuable platforms that will outperform the competition. This book aims to fix a glaring gap for data professionals: a comprehensive guide to the full Modern Data Stack that's rooted in real-world capabilities, not vendor hype. It is full of hard-earned advice on how to get maximum value from your investments through tangible insights, actionable strategies, and proven best practices. It comprehensively explains how the Modern Data Stack is truly utilized by today's data-driven companies. Mastering the Modern Data Stack: An Executive Guide to Unified Business Analytics is crafted for a diverse audience. It's for business and technology leaders who understand the importance and potential value of data, analytics, and AI—but don’t quite see how it all fits together in the big picture. It's for enterprise architects and technology professionals looking for a primer on the data analytics domain, including definitions of essential components and their usage patterns. It's also for individuals early in their data analytics careers who wish to have a practical and jargon-free understanding of how all the gears and pulleys move behind the scenes in a Modern Data Stack to turn data into actual business value. Whether you're starting your data journey with modest resources, or implementing digital transformation in the cloud, you'll find that this isn't just another textbook on data tools or a mere overview of outdated systems. It's a powerful guide to efficient, modern data management and analytics, with a firm focus on emerging technologies such as data science, machine learning, and AI. If you want to gain a competitive advantage in today’s fast-paced digital world, this TinyTechGuide™ is for you. Remember, it’s not the tech that’s tiny, just the book!™

Author : Benjamin S. Baumer
Publisher : CRC Press
ISBN 13 : 1498724582
Total Pages : 690 pages
Book Rating : 4.86/5 ( download)

DOWNLOAD NOW!

Download or read book Modern Data Science with R written by Benjamin S. Baumer and published by CRC Press. This book was released on 2017-03-16 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions. Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

Author : Jinjer L. Simon
Publisher : Visual
ISBN 13 : 9780764537547
Total Pages : 308 pages
Book Rating : 4.47/5 ( download)

DOWNLOAD NOW!

Download or read book Excel Data Analysis written by Jinjer L. Simon and published by Visual. This book was released on 2003 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Essential for those who know basic Excel and want to explore the full potential of the program * Teaches how to manipulate data to suit specific needs and achieve more by doing less work * Self-contained two-page lessons, featuring high-resolution screen shots and minimal text, show how to create custom functions, retrieve data from databases, use value chains, and slice and pivot information from the Web with Excel's PivotTable utility * Covers data analyzing techniques for statistical functions, financial functions, data sharing, PivotTables and PivotCharts, Solver, and BackSolver