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23MEE309 – Excel for Business – Essentials

By Dinesh Categories: MECH, SNSCT
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About Course

This course provides students with practical knowledge of Microsoft Excel for data organization, analysis, and decision-making in business and engineering applications. It introduces the Excel interface, basic spreadsheet operations, and essential tools required for efficient data management.

Students will learn how to create and format worksheets, manage rows and columns, and organize data using tables and ranges. The course also covers the use of formulas and commonly used Excel functions such as SUM, AVERAGE, IF, COUNT, MAX, and MIN, along with advanced functions including VLOOKUP, HLOOKUP, MATCH, and COUNTIF. Students will develop the ability to visualize data through charts and graphs for better interpretation and presentation.

Further, the course introduces data handling and analysis techniques such as sorting, filtering, data validation, PivotTables, PivotCharts, and macros. Students will learn how Excel can be used to analyze large datasets and generate meaningful insights.

In the later part of the course, students will explore basic statistical analysis using Excel, including descriptive statistics, probability concepts, hypothesis testing, regression analysis, and data visualization techniques. Tools for optimization and analytical decision-making are also introduced.

By the end of the course, students will gain the ability to use Excel effectively for data analysis, reporting, and business decision-making, which are essential skills in modern professional environments.

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What Will You Learn?

  • In this course, students will learn the essential features of Microsoft Excel for organizing, managing, and analyzing data effectively. They will understand the Excel interface and basic spreadsheet operations such as creating worksheets, formatting data, and managing rows, columns, and tables. The course introduces formulas and commonly used functions for performing calculations and automating tasks. Students will also learn how to create charts and visualizations to present data clearly. In addition, the course covers important data analysis tools such as sorting, filtering, PivotTables, PivotCharts, and macros. Basic statistical analysis techniques including descriptive statistics, regression, and hypothesis testing using Excel will also be introduced to support data-driven decision making.

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