Data Management, Manipulation and Analysis using Excel

Introduction to Excel for Data Management and Analysis
• Overview of Excel’s features and capabilities for data management
• Understanding Excel’s data types and formatting options

Data Organization and Manipulation
• Creating and managing worksheets and workbooks
• Importing and exporting data in various formats
• Cleaning and transforming data using Excel’s tools

Formulas and Functions
• Understanding Excel’s formula syntax and structure
• Using basic arithmetic and logical functions
• Applying advanced functions for data analysis (e.g., VLOOKUP, SUMIF, COUNTIF)

Data Validation and Error Checking
• Implementing data validation rules
• Detecting and correcting errors in data

Data Visualization
• Creating charts and graphs for effective data presentation
• Customizing chart elements and formatting
• Combining multiple visualizations for comprehensive analysis

Pivot Tables and Pivot Charts
• Summarizing and analyzing large datasets using Pivot Tables
• Creating interactive Pivot Charts for data exploration

Data Analysis Techniques
• Performing descriptive statistics and data summarization
• Applying conditional formatting for data highlighting
• Conducting what-if analysis using scenarios and goal seek

Macros and Automation
• Understanding the basics of macros and VBA programming
• Automating repetitive tasks and workflows

Data Security and Collaboration
• Protecting data and workbooks using passwords and permissions
• Sharing and collaborating on workbooks with others

Who Should Attend:
• Professionals in various industries who work with data and need to analyze and present insights
• Business analysts, data analysts, and decision-makers
• Managers and executives who require data-driven decision support
• Students and individuals interested in developing data analysis skills using Excel

1ST BATCH: Tuesday, April 7, 2026 — Friday, April 10, 2026.

2ND BATCH: Tuesday, July 28, 2026 — Friday, July 31, 2026.

3RD BATCH: Tuesday, November 24, 2026 — Friday, November 27, 2026.

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.