Data Analysis and Visualization with Microsoft Excel

Objectives:
• Understand the fundamentals of data analysis and visualization
• Learn how to perform robust data analysis using advanced Excel tools
• Create stunning visualizations to extract maximum value from data
• Gain proficiency in using Excel formulas, functions, PivotTables, and Power Pivot
Course Content:
Data Analysis Fundamentals
• Introduction to data science
• Creating and modifying tables
• Sorting and filtering data
Visualizing Data with Excel
• Visualizing data with charts
• Modifying and formatting charts
• Applying best practices in chart design
Analyzing Data with Formulas and Functions
• Analyzing data with formulas and named ranges
• Analyzing data with functions
• Implementing data validation, forms, and controls
• Creating conditional visualizations with lookup functions
Analyzing Data with PivotTables
• Creating PivotTables
• Analyzing PivotTable data
Presenting Visual Insights with Dashboards in Excel
• Visualizing data with PivotCharts
• Filtering data using slicers and timelines
• Creating dashboards in Excel
Creating Geospatial Visualizations with Excel
• Creating map charts in Excel
• Customizing map charts
Performing Statistical Analysis
• Visualizing trendlines and sparklines with Excel
• Analyzing data with the Data Analysis ToolPak
Getting and Transforming Data
• Connecting to data with queries
• Cleaning and combining data
• Shaping and transforming data
Modeling and Analyzing Data with Power Pivot
• Installing Power Pivot in Excel
• Creating data models with Power Pivot
• Creating Power Pivots
• Performing advanced data analysis and visualization
Presenting Insights with Reports
• Planning a report
• Creating a report
Who Should Attend:
• Professionals who want to enhance their data analysis and visualization skills using Microsoft Excel
• Business analysts, data analysts, and anyone working with data in various industries
• Students and individuals interested in learning advanced Excel techniques for data analysis and visualization
Methodology
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical experience, emphasizing the application of learned techniques. This approach ensures that attendees return to their professional environments equipped with both the competence and self-assurance to effectively implement the acquired skills in their responsibilities
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DATE:
1ST BATCH: 22nd – 25thApr,2025
2ND BATCH: 4th – 7th Nov,2025