Excel & Data
Analytics
POWER YOUR CAREER WITH DATA
Interactive Menu
 Unit I: Introduction to MS-Excel
 Unit II: Advanced Excel Functions
 Unit III: Introduction to Data Analytics
 Unit IV: Case Studies on Data Analytics
Unit I: Introduction to MS-
Excel
• Basics of Spreadsheets
• Workbook & Worksheet
• Excel Interface Elements
• Cells, Rows, Columns
• Toolbars & Ribbons
• Adding Worksheets
• Status Bar & Features
Unit II: Advanced Excel
Functions
• VLOOKUP, HLOOKUP
• INDEX-MATCH
• PivotTables
• Data Analysis ToolPak
• Descriptive Statistics
• Histograms
• Correlation & Regression
Unit III: Introduction to
Data Analytics
• Data & its Types
• What is Data Analytics?
• Types of Data Analytics
• Importance of Data Analytics
• Applications of Data Analytics
Unit IV: Case Studies on
Data Analytics
• Data Collection Methods
• Data Sources & Formats
• Data Cleaning & Transformation
• Handling Missing Data & Outliers
• Ethical Considerations
• Real-World Applications
• Industry-Specific Cases
Why Choose This Elective?
• Gain Hands-On Excel & Data Analytics Skills
• High Demand in Job Market
• Roles: Data Analyst, BI Developer, Excel Specialist
• Real-World Applications
• Future Career Growth

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Excel_Data_Analytics_Interactive_PPT.pptx

  • 1. Excel & Data Analytics POWER YOUR CAREER WITH DATA
  • 2. Interactive Menu  Unit I: Introduction to MS-Excel  Unit II: Advanced Excel Functions  Unit III: Introduction to Data Analytics  Unit IV: Case Studies on Data Analytics
  • 3. Unit I: Introduction to MS- Excel • Basics of Spreadsheets • Workbook & Worksheet • Excel Interface Elements • Cells, Rows, Columns • Toolbars & Ribbons • Adding Worksheets • Status Bar & Features
  • 4. Unit II: Advanced Excel Functions • VLOOKUP, HLOOKUP • INDEX-MATCH • PivotTables • Data Analysis ToolPak • Descriptive Statistics • Histograms • Correlation & Regression
  • 5. Unit III: Introduction to Data Analytics • Data & its Types • What is Data Analytics? • Types of Data Analytics • Importance of Data Analytics • Applications of Data Analytics
  • 6. Unit IV: Case Studies on Data Analytics • Data Collection Methods • Data Sources & Formats • Data Cleaning & Transformation • Handling Missing Data & Outliers • Ethical Considerations • Real-World Applications • Industry-Specific Cases
  • 7. Why Choose This Elective? • Gain Hands-On Excel & Data Analytics Skills • High Demand in Job Market • Roles: Data Analyst, BI Developer, Excel Specialist • Real-World Applications • Future Career Growth