Business Data Analytics With Microsoft Excel
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Business Data Analytics with Microsoft Excel
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-03-17
In today's data-driven business landscape, organizations that leverage data effectively gain a significant competitive advantage. "Business Data Analytics with Microsoft Excel" is a comprehensive guide that empowers readers to harness the power of data and make informed decisions that drive business success. Written in a clear and engaging style, this book provides a thorough understanding of data analytics concepts, techniques, and applications. With a focus on practical implementation, it takes a hands-on approach, utilizing Microsoft Excel as a powerful tool for data analysis. Readers will learn how to collect, clean, and transform data, conduct exploratory data analysis, and uncover hidden patterns and trends. This book delves into statistical analysis, predictive analytics, data mining, and data visualization, providing readers with the skills and knowledge to extract valuable insights from data. It also addresses the ethical considerations surrounding data analytics, ensuring that readers understand the importance of privacy, data security, and responsible use of data. With real-world examples and case studies from various industries, readers will gain practical insights into how businesses are leveraging data to achieve remarkable results. Whether you're a seasoned professional seeking to expand your data analytics knowledge or a beginner looking to enter this exciting field, "Business Data Analytics with Microsoft Excel" is an invaluable resource. This book is designed for business professionals, managers, and students seeking to enhance their data analytics skills. It is an essential guide for anyone who wants to stay ahead in today's data-driven world and make data-driven decisions that drive business success. Key Features: * Comprehensive coverage of data analytics concepts, techniques, and applications * Hands-on approach with a focus on practical implementation using Microsoft Excel * In-depth exploration of statistical analysis, predictive analytics, data mining, and data visualization * Real-world examples and case studies from various industries * Discussion of ethical considerations surrounding data analytics * Suitable for business professionals, managers, and students "Business Data Analytics with Microsoft Excel" is your key to unlocking the power of data and making informed decisions that drive business success. If you like this book, write a review!
Microsoft Excel 2019 Data Analysis and Business Modeling
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
The Modern Business Data Analyst
This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics. The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number of different techniques and best-practices which you can immediately exploit in your daily work. The book does not assume that you have an academic degree or any experience with business data analytics or data science. All you need is an open mind, willingness to puzzle and think mathematically, and the willingness to write some R code. This book is your all-in-one resource to become proficient in business data analytics with R, equipped with practical skills for the real world.