Excel Full Course Lecture Notes

Introduction to Data-Driven Decision Making

• Joffrey Murray quote: "Without data, you're blind and deaf."
• Importance of data in decision-making: ads, investments, travel plans, etc.
• Data-driven decision making is crucial in IT industry.
• High demand for data analysts and professionals with Excel skills.

Course Overview

• Full course on Microsoft Excel by Simply Learn.
• Syllabus designed with industry experts.
• Topics covered:
  • Introduction to Excel
  • Basics: spreadsheet fundamentals, data sorting, filtering, validation, conditional formatting.
  • Intermediate: in-built functions, advanced concepts, VBA, macros, data visualization, and analysis.
  • Projects and interview preparation.

Basics of Microsoft Excel

Overview of Excel

• Software by Microsoft to organize data in rows and columns.
• Capable of mathematical operations and data insights.
• Visualization through graphs and charts.

Fundamentals to Know

• When Excel is installed, it includes various products, and Excel is one of them.
• Home page presents various templates and options for usage.
• Toolbar menu: File, Home, Insert, Draw, Page Layout, Formulas, Data, Review, View, Help.
• Toolbar ribbon: segments into groups with various functionalities.
• Each cell has a unique address (e.g., B3).
• Sheet tracker helps navigate between sheets.

Practical Demo

Starting with Excel

1. Creating Employee Table
   • Employee ID, Name, Designation, Salary, and Phone Number.
   • Basic operations: resizing, merging cells, entering data.

Data Analysis in Excel

1. Using Functions

   • Basic functions like SUM, AVERAGE, etc.
   • Example: Calculate total employee salary or average salary.
   • Using conditional formatting to highlight data.

2. Advanced Functions

   • EXCEL: Discussed advanced functions like VLOOKUP, HLOOKUP, IF, COUNTIF, etc.
   • Examples of using these functions to extract data based on specific criteria.

3. Pivot Tables

   • Creation of pivot tables for summarizing large data sets.
   • Benefits of using pivot tables for data analysis and visualization.

Creating Dashboards

• How to create engaging dashboards using data from Excel.
• Use of slicers and timelines to filter data dynamically.
• Importance of visualization for decision-making.

Conclusion

• Excel offers robust tools for data analysis including pivot tables, VLOOKUP, and data validation.
• Importance of mastering these tools for effective data-driven decision making.
• Reminder to subscribe for more tutorials and resources.