Computing Skills for Business – II

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Publisher: Prime Publishing House
ISBN: 9789373446226
Year: 2026
Pages: 216

Computing Skills for Business – II is a practical and application-oriented guide designed to develop essential digital and analytical skills for today’s business environment. The book focuses on equipping learners with the ability to manage, analyze, and present business data effectively using modern spreadsheet tools and AI-enabled technologies.

The content covers spreadsheet fundamentals using Google Sheets and Microsoft Excel, including data entry, formatting, formulas, functions, and data validation. It further explores data visualization techniques such as charts, pivot tables, and interactive dashboards, enabling learners to transform raw data into meaningful business insights.

With an emphasis on productivity and innovation, the book introduces AI-powered tools, automation techniques, and real-world applications like sales reporting, budgeting, and inventory management. Written in a clear and learner-friendly style, it combines step-by-step explanations with practical examples to enhance hands-on learning.

An ideal resource for students and beginners, this book helps build strong computing competence and prepares learners to apply digital tools effectively in academic and professional settings.

1. Spreadsheet Basics and Data Handling
1.1 Introduction to Google Sheets and Microsoft Excel interface
1.2 Entering, Formatting, And Sorting Business Data
1.3 Formulas and functions: SUM, AVERAGE, IF, COUNTIF, TEXT
1.4 Conditional Formatting and Data Validation
1.5 AI Tools for Autofill, Smart Compose in Sheets/Excel

2. Data Visualization and Dashboards
2.1 Creating Business Charts: Bar, Line, Pie, Column
2.2 Using Filters, Slicers, and Pivot Tables
2.3 Dashboard Layout: KPIs and summaries
2.4 Building Interactive Dashboards in Google Sheets
2.5 Linking Data from Multiple Sheets/Sources

3. AI Tools for Business Productivity
3.1 Introduction to Copilot in Excel and Sheets Add-ons (e.g., GPT for Sheets)
3.2 Automating Repetitive Tasks Using Macros (Basic)
3.3 Forecasting and Trend Analysis with AI Suggestions
3.4 Integration with Google Forms and Data Collection
3.5 Use Cases: Inventory Tracker, Sales Report, Budget Planner

This textbook is aligned with the revised syllabus as outlined by the National Education Policy (NEP 2020) Open Electives (OE) Second Year BA / BSc / BCA / BBA (Semester IV)

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