📘 Business Analytics: Principles and Practice with Microsoft Excel and Python | Pavankumar Gurazada & Seema Gupta | Vikas Publishing | Edition 2026

Business Analytics: Principles and Practice with Microsoft Excel and Python by Pavankumar Gurazada & Seema Gupta, published by Vikas Publishing, is a practical and application-oriented textbook that introduces students to the fundamentals of Business Analytics, data analysis, statistical techniques, Microsoft Excel and Python. The book helps learners understand how data can be collected, processed, analysed and interpreted to support better business decisions.

⭐ Best Overall

🏢 Publisher: Vikas Publishing

✍️ Authors: Pavankumar Gurazada & Seema Gupta

📚 Edition: 2026

📖 Category: Business Analytics | Data Analytics | Business Intelligence | Microsoft Excel | Python | Statistics | Data-Driven Decision Making

🎯 Suitable For: B.Com Students | BBA Students | MBA Students | Management Students | Commerce Students | Business Analytics Students | Data Analytics Beginners | Professional Courses

🚀 Why This Book is Important

👉 One fundamental principle:

📌 "Business Analytics transforms raw business data into meaningful insights that help organisations make informed, efficient and data-driven decisions."

👉 This book helps readers understand:

✔️ Business Analytics Fundamentals

✔️ Data Analysis

✔️ Descriptive Statistics

✔️ Data Visualization

✔️ Microsoft Excel

✔️ Excel-Based Analytics

✔️ Python for Analytics

✔️ Data Interpretation

✔️ Statistical Analysis

✔️ Business Decision Making

✔️ Predictive Analytics Concepts

📌 Data + Excel + Python + Analytics = Data-Driven Business Decisions

📖  Description (Complete Guide to Business Analytics)

📊 1. Introduction to Business Analytics

✔️ Covers:

• Business Analytics

• Importance of Data

• Analytics in Business

• Data-Driven Decision Making

• Business Intelligence

• Role of Analytics in Management

✔️ Provides a strong foundation for understanding how analytics can be applied to real-world business problems.

📈 2. Types of Business Analytics

✔️ Introduces:

• Descriptive Analytics

• Diagnostic Analytics

• Predictive Analytics

• Prescriptive Analytics

✔️ Helps students understand how different forms of analytics answer different business questions.

📌 What Happened? → Why It Happened? → What May Happen? → What Should We Do?

🗂️ 3. Data & Business Decision Making

✔️ Covers concepts related to:

• Business Data

• Data Sources

• Data Collection

• Data Preparation

• Data Quality

• Data Interpretation

• Decision Making

✔️ Explains how businesses can convert raw information into actionable insights.

📊 4. Data Preparation & Analysis

✔️ Covers:

• Data Cleaning

• Data Organisation

• Data Classification

• Data Transformation

• Missing Data

• Data Validation

• Data Preparation

✔️ Helps students understand why clean and structured data is essential for reliable analytics.

📉 5. Descriptive Statistics

✔️ Covers:

• Mean

• Median

• Mode

• Range

• Variance

• Standard Deviation

• Measures of Central Tendency

• Measures of Dispersion

✔️ Helps learners summarise and interpret business datasets using statistical measures.

📐 6. Statistical Analysis for Business

✔️ Covers concepts related to:

• Probability

• Statistical Distributions

• Correlation

• Regression

• Sampling

• Statistical Interpretation

✔️ Connects statistical methods with practical business applications.

💻 7. Microsoft Excel for Business Analytics

✔️ Covers practical applications of Microsoft Excel for:

• Data Organisation

• Data Analysis

• Calculations

• Statistical Analysis

• Data Visualization

• Business Reporting

✔️ Helps students use Excel as a powerful tool for analysing business data.

📌 Excel + Business Data = Practical Analytics

📊 8. Excel Functions & Analytical Tools

✔️ Introduces practical Excel-based techniques such as:

• Formulas

• Functions

• Data Sorting

• Data Filtering

• Charts

• Tables

• Pivot Tables

• Data Analysis

✔️ Helps students develop practical spreadsheet-based analytical skills.

📈 9. Data Visualization

✔️ Covers:

• Charts

• Graphs

• Tables

• Visual Data Representation

• Business Dashboards

• Analytical Reporting

✔️ Explains how visualisation can make complex datasets easier to understand and communicate.

📌 Good Visualization = Better Understanding of Data

🐍 10. Introduction to Python for Business Analytics

✔️ Introduces Python as a tool for:

• Data Analysis

• Data Processing

• Statistical Analysis

• Data Visualization

• Business Analytics

✔️ Helps beginners understand how Python can complement spreadsheet-based analytics.

💻 11. Python Programming Fundamentals

✔️ Introduces fundamental programming concepts such as:

• Variables

• Data Types

• Operators

• Conditional Statements

• Loops

• Functions

• Data Structures

✔️ Provides the programming foundation needed for performing data analysis with Python.

🐍 12. Python for Data Analysis

✔️ Covers practical concepts related to:

• Data Handling

• Data Manipulation

• Data Analysis

• Structured Data

• Analytical Workflows

✔️ Helps learners understand how Python can be used to process and analyse business datasets.

📊 13. Python-Based Data Visualization

✔️ Covers concepts related to:

• Graphical Representation

• Data Visualization

• Analytical Charts

• Business Data Presentation

✔️ Helps students communicate analytical findings through visual representations.

🔍 14. Business Data Interpretation

✔️ Covers:

• Data Interpretation

• Business Insights

• Analytical Findings

• Trend Identification

• Pattern Recognition

• Decision Support

✔️ Helps students move from numerical analysis to meaningful business conclusions.

📈 15. Predictive Analytics

✔️ Introduces concepts related to:

• Forecasting

• Prediction

• Regression

• Trends

• Business Forecasts

• Predictive Decision Making

✔️ Explains how historical data can be used to identify patterns and support future business decisions.

🏢 16. Applications of Business Analytics

✔️ Business Analytics can be applied to areas such as:

• Marketing

• Finance

• Human Resources

• Sales

• Operations

• Supply Chain

• Customer Analytics

• Strategic Management

✔️ Helps students understand the practical relevance of analytics across different business functions.

🎯 17. Data-Driven Decision Making

✔️ Covers:

• Business Problems

• Data-Based Decisions

• Analytical Thinking

• Performance Measurement

• Business Insights

• Strategic Decisions

✔️ Connects analytical techniques with practical managerial decision-making.

📌 Analyse → Interpret → Decide → Improve

🎓 Academic & Professional Relevance

✔️ Useful for:

• B.Com Students

• BBA Students

• MBA Students

• Management Students

• Commerce Students

• Business Analytics Students

• Data Analytics Beginners

• Business Intelligence Learners

• Professional Courses

✔️ Particularly useful for learners who want to develop practical skills in Excel, Python, statistics and business data analysis.

🧠 Examination & Practical Learning

✔️ Business Analytics concepts

✔️ Types of Analytics

✔️ Descriptive Statistics

✔️ Data Preparation

✔️ Excel Functions

✔️ Pivot Tables

✔️ Data Visualization

✔️ Python Fundamentals

✔️ Data Analysis

✔️ Correlation & Regression

✔️ Predictive Analytics

✔️ Business Decision Making

📌 Concepts + Excel Practice + Python Practice + Data Interpretation = Strong Business Analytics Preparation

⭐ Why This Book is Highly Recommended

✔️ Comprehensive introduction to Business Analytics

✔️ Edition 2026

✔️ Published by Vikas Publishing

✔️ Written by Pavankumar Gurazada & Seema Gupta

✔️ Combines conceptual understanding with practical analytics

✔️ Covers Microsoft Excel

✔️ Introduces Python

✔️ Covers statistical analysis

✔️ Explains data preparation and interpretation

✔️ Includes data visualization concepts

✔️ Introduces predictive analytics

✔️ Connects analytics with business decision-making

✔️ Useful for Commerce and Management students

✔️ Suitable for beginners learning business analytics

👉 This book is an excellent choice for students who want to understand Business Analytics while developing practical skills using Microsoft Excel and Python.

🧠 Smart Learning Strategy

✔️ Start with the fundamentals of Business Analytics

✔️ Understand the four major types of analytics

✔️ Learn data preparation before analysis

✔️ Master basic statistical concepts

✔️ Practise Excel formulas and analytical tools

✔️ Learn to create meaningful charts and visualisations

✔️ Build Python fundamentals gradually

✔️ Practise data analysis using Python

✔️ Connect analytical results with real business problems

✔️ Focus on interpretation rather than calculations alone

👉 Golden Rule:

📌 "Learn the concept, practise it with Excel, apply it with Python and finally interpret the results from a business perspective."

🎯 Final Verdict

✔️ Comprehensive Business Analytics textbook

✔️ Edition 2026 | Vikas Publishing

✔️ Written by Pavankumar Gurazada & Seema Gupta

✔️ Covers Business Analytics fundamentals

✔️ Explains descriptive, diagnostic, predictive and prescriptive analytics

✔️ Covers data preparation and analysis

✔️ Includes statistical techniques

✔️ Provides practical Microsoft Excel applications

✔️ Covers Excel-based data analysis and visualization

✔️ Introduces Python for Business Analytics

✔️ Covers Python fundamentals and data analysis

✔️ Explains data visualization

✔️ Introduces predictive analytics

✔️ Covers data-driven business decision-making

✔️ Connects analytics with Marketing, Finance, HR, Sales and Operations

👉 A complete guide to Business Analytics covering data analysis, descriptive statistics, data preparation, Microsoft Excel, Excel functions, Pivot Tables, data visualization, Python, statistical analysis, correlation, regression, predictive analytics and data-driven decision making for B.Com, BBA, MBA, Management, Commerce and Business Analytics students.

Buy Business Analytics: Principles and Practice with Microsoft Excel and Python by Pavankumar Gurazada & Seema Gupta, published by Vikas Publishing, Edition 2026. A practical Business Analytics textbook covering data analysis, statistics, Microsoft Excel, data visualization, Python, predictive analytics and data-driven decision making, ideal for B.Com, BBA, MBA and Management students.

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Business Analytics: Principles and Practice with Microsoft Excel and Python featuring business analytics, descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, data preparation, statistics, Excel functions, Pivot Tables, data visualization, Python programming, data analysis, correlation, regression, forecasting and data-driven decision making for B.Com, BBA, MBA, Commerce, Management and Business Analytics students.