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This book is helpful in particular to the B.com Semester IV of the North Maharashtra University as it is compiled and written strictly according to their Syllabus. This is also...

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Computing Skills for Business – II
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This book is helpful in particular to the B.com Semester IV of the North Maharashtra University as it is compiled and written strictly according to their Syllabus. This is also useful to the student undergoing graduation in Commerce & Management with North Maharashtra University. Understanding of Management Parameter which playing a crucial role for governing the corporate system. Therefore the study of Management is included in the syllabus of academic and professional institutions. This book has been prepared with a conscious effort to meet in full measure the requirement of not only the student but also for the working managers.

1. Spreadsheet Basics and Data Handling.....................................7
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 in Excel
1.5 AI tools for autofill, Smart Compose in Sheets/Excel
2. Data Visualization and Dashboards.........................................58
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...........................................83
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

1. Spreadsheet Basics and Data Handling..................7
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 in Excel
1.5 AI tools for autofill, Smart Compose in Sheets/Excel
2. Data Visualization and Dashboards....................58
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...........................................83
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

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