Excel Mastery Workshop

In this interactive workshop spanning participants will undergo intensive training to elevate their proficiency in Microsoft Excel. Through a combination of theoretical instruction and practical exercises, attendees will explore fundamental functionalities, delve into advanced features, and learn practical applications of Excel.

By mastering data management, visualization creation, and analytical streamlining, participants emerge equipped with the tools to excel in diverse professional environments that demand adept Excel skills.

Workshop Description

This hands-on workshop is designed to enhance your proficiency in Microsoft Excel. Over two days, participants will delve into the essential functionalities, advanced features, and practical applications of Excel, equipping them with the skills to efficiently manage data, create impactful visualisations, and streamline analytical processes.

Who should attend?

• Professionals seeking to elevate their Excel skills

• Analysts, data managers, and financial professionals

• Anyone wanting to harness Excel’s power for data manipulation, analysis, and presentation.

Learning Objectives

• Gain a comprehensive understanding of Excel’s fundamental tools and functions.

• Develop proficiency in advanced Excel features for data analysis, visualization, and automation.

Module 1: Essential Excel Functions

• Introduction to formulas and functions.

• Practical exercises on SUM, AVERAGE, IF, VLOOKUP, and CONCATENATE.

Module 2: Data Management and Analysis

• Sorting and filtering data efficiently.

• PivotTables: Creating, customizing, and analyzing data with PivotTables.

Module 3: Charts and Visualizations

• Creating impactful charts (bar, line, pie) and formatting options.

• Incorporating sparklines and data bars for quick visual analysis.

Module 4: Data Validation and Protection

• Ensuring data accuracy through validation rules.

• Protecting worksheets and workbooks: passwords, permissions, and sharing options.

Module 5: Advanced Formulas and Functions

• Array formulas and their applications.

• IFERROR, INDEX, MATCH, and other advanced functions for complex data analysis.

Module 6: Data Analysis Tools

• Goal Seek, Scenario Manager, and Solver for what-if analysis.

• Advanced filtering techniques and conditional formatting.

Module 7: Automation with Macros

• Introduction to JDBC

• Performing database operations using Java

Module 8: Collaboration and Sharing

• Sharing workbooks and collaborating in real-time.

• Version control and tracking changes in shared workbooks.

Module 9: Recap and Action Planning

• Review of key concepts

• Developing a personal action plan for ongoing improvement