๐ย Business Analytics: Principles and Practice with Microsoft Excel and Python | Pavankumar Gurazada & Seema Gupta | S Chand Publishing | Edition 2026
Business Analytics: Principles and Practice with Microsoft Excel and Python by Pavankumar Gurazada & Seema Gupta, published by S Chand Publishing, is a practical and application-oriented textbook designed to introduce students to the fundamentals of Business Analytics, data analysis, Microsoft Excel and Python-based analytical techniques.
The book is useful for students studying BBA, B.Com, MBA, Management, Business Analytics, Data Analytics, Computer Applications and related undergraduate and postgraduate programmes, particularly for understanding how data can be transformed into meaningful business insights and support better decision-making.
The 2026 edition can be positioned as a latest academic edition for students looking to develop practical Business Analytics skills using Microsoft Excel and Python.
โญ Book Details
๐ข Publisher: S Chand Publishing
โ๏ธ Authors: Pavankumar Gurazada & Seema Gupta
๐ Edition: 2026
๐ Title: Business Analytics: Principles and Practice with Microsoft Excel and Python
๐ Language: English
๐ Category: Business Analytics | Data Analytics | Microsoft Excel | Python | Business Intelligence | Management
๐ฏ Suitable For: BBA Students | B.Com Students | MBA Students | Management Students | Business Analytics Students | Data Analytics Learners | Computer Application Students
๐ Why This Book is Important
Business Analytics helps organizations use data to understand business performance, identify patterns and make informed decisions.
This textbook provides a foundation for understanding:
โ๏ธ Business Analytics Concepts
โ๏ธ Data Analysis
โ๏ธ Data-Driven Decision Making
โ๏ธ Microsoft Excel for Analytics
โ๏ธ Python for Business Analytics
โ๏ธ Data Visualization
โ๏ธ Statistical Analysis
โ๏ธ Business Intelligence
โ๏ธ Analytical Problem Solving
๐ Data โ Analysis โ Insight โ Decision โ Business Value
๐ 1. Introduction to Business Analytics
The book introduces students to the concepts and applications of Business Analytics.
Students can understand:
โ๏ธ Meaning of Business Analytics
โ๏ธ Importance of Data
โ๏ธ Role of Analytics in Business
โ๏ธ Data-Driven Decision Making
โ๏ธ Business Problems & Analytical Solutions
โ๏ธ Applications of Analytics
๐ Business Problem โ Data โ Analysis โ Insight โ Decision
๐ 2. Types of Business Analytics
Understanding different forms of analytics is essential for business decision-making.
Students can learn about:
โ๏ธ Descriptive Analytics
โ๏ธ Diagnostic Analytics
โ๏ธ Predictive Analytics
โ๏ธ Prescriptive Analytics
โ๏ธ Business Decision Support
๐ What Happened? โ Why? โ What May Happen? โ What Should We Do?
๐ 3. Data Analysis for Business
Business data needs to be organized and analyzed before meaningful conclusions can be drawn.
Important areas include:
โ๏ธ Data Collection
โ๏ธ Data Preparation
โ๏ธ Data Cleaning
โ๏ธ Data Organization
โ๏ธ Data Analysis
โ๏ธ Interpretation of Results
๐ Collect โ Clean โ Organize โ Analyze โ Interpret
๐ป 4. Microsoft Excel for Business Analytics
Microsoft Excel is widely used for business data analysis and reporting.
Students can develop practical understanding of:
โ๏ธ Worksheets
โ๏ธ Formulas
โ๏ธ Functions
โ๏ธ Data Management
โ๏ธ Tables
โ๏ธ Sorting & Filtering
โ๏ธ Charts
โ๏ธ Data Analysis
๐ Excel Data โ Functions โ Analysis โ Visualization โ Business Insight
๐ 5. Excel-Based Data Visualization
Visualization helps convert complex datasets into easily understandable information.
Students can work with:
โ๏ธ Charts
โ๏ธ Graphs
โ๏ธ Tables
โ๏ธ Summaries
โ๏ธ Analytical Reports
โ๏ธ Visual Presentation of Data
๐ Data โ Chart โ Pattern โ Insight
๐งฎ 6. Statistical Analysis
Statistical techniques help businesses understand patterns, relationships and trends within data.
Students can study concepts related to:
โ๏ธ Descriptive Statistics
โ๏ธ Measures of Central Tendency
โ๏ธ Measures of Dispersion
โ๏ธ Data Distribution
โ๏ธ Statistical Interpretation
โ๏ธ Business Applications
๐ Data โ Statistics โ Interpretation โ Decision
๐ 7. Python for Business Analytics
Python is an important programming language for modern data analysis.
Students can understand the use of Python for:
โ๏ธ Data Analysis
โ๏ธ Data Processing
โ๏ธ Data Manipulation
โ๏ธ Analytical Calculations
โ๏ธ Automation
โ๏ธ Business Data Applications
๐ Python โ Data Processing โ Analysis โ Business Insight
๐ป 8. Python-Based Data Analysis
Students can develop a foundation for using Python to work with datasets.
Important areas include:
โ๏ธ Data Handling
โ๏ธ Data Processing
โ๏ธ Data Manipulation
โ๏ธ Analytical Operations
โ๏ธ Data Interpretation
โ๏ธ Business Applications
๐ Dataset โ Python โ Processing โ Analysis โ Result
๐ 9. Data Visualization with Python
Visualization plays an important role in communicating analytical results.
Students can understand how analytical results can be presented through:
โ๏ธ Graphs
โ๏ธ Charts
โ๏ธ Visual Summaries
โ๏ธ Trends
โ๏ธ Patterns
โ๏ธ Business Reports
๐ Data โ Visualization โ Pattern Recognition โ Decision
๐ง 10. Data-Driven Decision Making
Business Analytics connects data analysis with practical business decisions.
Students can understand how analytics supports:
โ๏ธ Strategic Decisions
โ๏ธ Operational Decisions
โ๏ธ Performance Analysis
โ๏ธ Problem Solving
โ๏ธ Forecasting
โ๏ธ Business Planning
๐ Data โ Insight โ Strategy โ Action
๐ 11. Business Forecasting & Predictive Thinking
Analytics can help businesses understand trends and make informed future-oriented decisions.
Students can learn concepts related to:
โ๏ธ Historical Data
โ๏ธ Trends
โ๏ธ Patterns
โ๏ธ Forecasting
โ๏ธ Predictive Analysis
โ๏ธ Future Business Planning
๐ Historical Data โ Pattern โ Forecast โ Decision
๐ข 12. Applications of Business Analytics
Business Analytics has applications across different business functions.
Students can understand applications in:
๐ฐ Finance
๐ Marketing
๐ฅ Human Resources
๐ฆ Operations
๐ Supply Chain
๐ Sales
๐ข Business Management
๐ Business Data โ Analytics โ Functional Insight โ Better Decisions
๐ 13. Business Intelligence & Analytics
Analytics contributes to business intelligence by transforming data into actionable information.
Students can understand:
โ๏ธ Business Information
โ๏ธ Performance Measurement
โ๏ธ Data Interpretation
โ๏ธ Reporting
โ๏ธ Decision Support
โ๏ธ Strategic Insights
๐ Data โ Information โ Intelligence โ Decision
๐ฌ 14. Analytical Problem Solving
The book helps students approach business problems using structured analytical thinking.
Students can follow:
โ๏ธ Identify the Problem
โ๏ธ Define Objectives
โ๏ธ Collect Relevant Data
โ๏ธ Analyze Data
โ๏ธ Interpret Results
โ๏ธ Recommend Action
๐ Problem โ Data โ Analysis โ Insight โ Solution
๐ก 15. Practical Approach to Business Analytics
The combination of Microsoft Excel and Python provides students with both spreadsheet-based and programming-based approaches to analytics.
Students can understand:
โ๏ธ Excel-Based Analysis
โ๏ธ Python-Based Analysis
โ๏ธ Data Processing
โ๏ธ Analytical Techniques
โ๏ธ Visualization
โ๏ธ Business Applications
๐ Excel โ Python โ Analysis โ Visualization โ Decision
๐ 16. Useful for Management & Commerce Students
This book can be useful for:
๐ BBA Students
๐ B.Com Students
๐ผ MBA Students
๐ Business Analytics Students
๐ Management Students
๐ป Computer Application Students
๐งฎ Data Analytics Learners
๐ 17. Important Topics for Examination
For Business Analytics preparation, students should focus on:
โ๏ธ Fundamentals of Business Analytics
โ๏ธ Types of Analytics
โ๏ธ Data Collection & Preparation
โ๏ธ Data Analysis
โ๏ธ Microsoft Excel
โ๏ธ Excel Functions
โ๏ธ Data Visualization
โ๏ธ Statistics
โ๏ธ Python
โ๏ธ Data Processing
โ๏ธ Python-Based Analytics
โ๏ธ Business Intelligence
โ๏ธ Predictive Analytics
โ๏ธ Data-Driven Decision Making
๐ Fundamentals โ Excel โ Statistics โ Python โ Visualization โ Business Decisions
๐ฅ 18. Best Study Strategy
For effective preparation, students can follow this sequence:
๐ Step 1
Understand the fundamentals and scope of Business Analytics.
๐ Step 2
Learn the different types of analytics and their business applications.
๐ป Step 3
Develop practical skills in Microsoft Excel for data analysis.
๐งฎ Step 4
Revise the relevant statistical and analytical concepts.
๐ Step 5
Learn the basics of Python for business data analysis.
๐ Step 6
Practice data visualization and interpretation.
๐ง Step 7
Connect analytical results with business decision-making and problem solving.
๐ Concepts โ Excel โ Statistics โ Python โ Visualization โ Decision Making
โญ Why This Book is Recommended
โ๏ธ Latest Edition 2026
โ๏ธ Written by Pavankumar Gurazada & Seema Gupta
โ๏ธ Published by S Chand Publishing
โ๏ธ English Medium
โ๏ธ Focused on Business Analytics
โ๏ธ Microsoft Excel
โ๏ธ Python
โ๏ธ Data Analysis
โ๏ธ Data Visualization
โ๏ธ Statistics
โ๏ธ Business Intelligence
โ๏ธ Predictive Analytics
โ๏ธ Data-Driven Decision Making
โ๏ธ Practical Analytical Skills
โ๏ธ Business Applications
๐ฏ Final Verdict
Business Analytics: Principles and Practice with Microsoft Excel and Python by Pavankumar Gurazada & Seema Gupta, published by S Chand Publishing, is a practical academic textbook designed to introduce students to the principles and applications of Business Analytics using Microsoft Excel and Python.
The 2026 edition provides a modern learning framework around data analysis, Excel-based analytics, statistical concepts, Python, data visualization, business intelligence, predictive thinking and data-driven decision-making.
It can be useful for BBA, B.Com, MBA, Management, Business Analytics, Data Analytics and Computer Application students who want to develop both conceptual understanding and practical analytical skills.
โ๏ธ Pavankumar Gurazada
โ๏ธ Seema Gupta
โ๏ธ S Chand Publishing
โ๏ธ Edition 2026
โ๏ธ Business Analytics
โ๏ธ Data Analytics
โ๏ธ Microsoft Excel
โ๏ธ Python
โ๏ธ Data Visualization
โ๏ธ Statistics
โ๏ธ Business Intelligence
โ๏ธ Predictive Analytics
โ๏ธ Data-Driven Decision Making
๐ A practical 2026 edition for learning Business Analytics with Microsoft Excel and Python.
Buyย Business Analytics: Principles and Practice with Microsoft Excel and Python by Pavankumar Gurazada & Seema Gupta, S Chand Publishing, Edition 2026. Learn Business Analytics, Excel, Python, data analysis, visualization and data-driven decision-making.
Business Analytics Principles and Practice
Business Analytics with Microsoft Excel and Python
Pavankumar Gurazada Business Analytics
Seema Gupta Business Analytics
S Chand Business Analytics Book
Business Analytics Book 2026
Business Analytics Book for BBA Students
Business Analytics Book for B.Com Students
Business Analytics Book for MBA Students
Excel and Python Business Analytics Book
Data Analytics Business Book
Business Intelligence Textbook
Python for Business Analytics
Microsoft Excel for Business Analytics
Data Analysis Textbook
Best Business Analytics Book for BBA Students
Business Analytics Book for B.Com Students
Business Analytics Textbook for MBA Students
Business Analytics with Excel and Python
Pavankumar Gurazada Seema Gupta Business Analytics
S Chand Business Analytics Book 2026
Business Analytics Excel Python Textbook
Data Analytics Book for Management Students
Business Intelligence and Analytics Book
Python Business Analytics Textbook
Business Analytics: Principles and Practice with Microsoft Excel and Python 2026 by Pavankumar Gurazada & Seema Gupta
Best Business Analytics textbook for BBA, B.Com and MBA students
Business Analytics: Principles and Practice with Microsoft Excel and Python, published by S Chand Publishing, provides practical academic coverage of Business Analytics, data analysis, Microsoft Excel, statistics, Python, data visualization, business intelligence, predictive analytics and data-driven decision-making, making it a useful reference for BBA, B.Com, MBA, Management, Business Analytics and Data Analytics students.