Microsoft Excel 2019 Data Analysis And Business Modeling

Microsoft Excel 2019: Data Analysis and Business Modeling

📘 Author: Wayne Winston
📘 Publisher: Microsoft Press
📘 Edition: 2019
📘 Pages: 864
📘 Category: Data Analysis, Business Modeling, Excel Guide

This book is a comprehensive step-by-step guide to mastering Microsoft Excel 2019 for business analytics and decision-making. Written by Wayne Winston, a renowned expert in business modeling, this book covers practical techniques to solve real-world problems using Excel. Whether you're a business analyst, financial expert, data scientist, or student, this book will help you leverage Excel's advanced functions to analyze and interpret data efficiently.

Key Features & Topics Covered:

✅ Excel’s Advanced Features for Data Modeling – Learn how to use functions like INDEX-MATCH, XLOOKUP, and array formulas.
✅ Statistical Analysis and Forecasting – Apply regression analysis, time series forecasting, and Monte Carlo simulation for predictive modeling.
✅ Optimization & Decision-Making Tools – Use Solver, Scenario Manager, and Goal Seek to optimize business processes.
✅ Financial & Business Analysis – Master techniques for cash flow analysis, risk assessment, and project valuation.
✅ Pivot Tables and Power Query – Learn how to clean, transform, and analyze large datasets efficiently.
✅ Real-World Case Studies – Hands-on exercises with real-world business applications.

Who Should Read This Book?

✔ Business professionals looking to enhance their Excel skills for financial and business analysis
✔ Data analysts who want to improve data visualization and decision-making
✔ Students preparing for careers in finance, business intelligence, and data science
✔ Anyone interested in learning Excel’s powerful tools for problem-solving

Why Read This Book?

🔹 Written by a Microsoft MVP (Most Valuable Professional) in Excel and analytics
🔹 Practical approach with real-world business case studies
🔹 Covers both fundamental and advanced Excel techniques
🔹 Helps professionals boost productivity and make data-driven decisions