📘 Data Analytics and Business Intelligence: Using Excel and Power BI | 1st Edition 2026
Author: Ashim Raj Singla
Publisher: Cengage
Category: Operations & Decision Sciences / Data Analytics / Business Intelligence
ISBN: 9789366600956
Edition: 1st Edition
India Release: 2026
Binding: Paperback
Pages: 708
Looking for a practical textbook to learn Data Analytics and Business Intelligence using Microsoft Excel and Power BI? This Cengage book builds your understanding from business analytics fundamentals to data warehousing, data mining, visualization, big data, advanced Excel, Power Pivot and Power BI.
What This Book Covers
- 📊 Fundamental concepts in business analytics and Business Intelligence
- 🗄️ Databases, data warehousing, OLTP, OLAP and data lakes
- 🔎 Data mining, data visualization and big data analytics
- 📈 Excel formulas, functions, charts and advanced Excel methods
- 📊 PivotTables, What-If Analysis, Solver and statistical tools
- ⚙️ Data modelling and Power Pivot
- 💻 Power BI, Power Query and data transformation
- 🧠 DAX calculations, dashboards, reports and Power BI publishing
- 🏢 Real-world Business Intelligence applications across marketing, finance, retail, healthcare and supply chain
Why This Cengage Book Is Useful
- ⭐ Combines conceptual foundations with hands-on Excel and Power BI implementation.
- ⭐ Uses practical examples and case-based learning for better understanding.
- ⭐ Suitable for management, commerce and information technology students.
- ⭐ Useful for professionals developing data-driven decision-making and analytics skills.
Ideal For: BBA, B.Com, MBA, IT and management students, business analytics learners, data professionals, faculty and working professionals.
🛒 Buy Data Analytics and Business Intelligence: Using Excel and Power BI from GenZ Book Company and build practical skills for modern analytics, Business Intelligence and data-driven decision-making.
⭐ Final Verdict: A strong practical Cengage textbook for anyone who wants to move from analytics concepts to real-world Excel and Power BI applications.
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