Microsoft Excel: Advanced Features and Techniques

Course Description:

The Microsoft Excel – Advanced Features and Techniques course is designed to empower participants with the skills to harness the full potential of Microsoft Excel. Spanning 16 hours, this comprehensive program covers essential and advanced Excel functionalities, making it suitable for professionals seeking to enhance their data management, analysis, and reporting capabilities.
Participants will learn to create complex formulas, utilize advanced data visualization techniques, work with pivot tables, automate repetitive tasks using macros, and integrate Excel with Power BI for powerful analytics. The course combines theory and hands-on exercises to ensure practical application of concepts.
By the end of the course, participants will be able to:
• Use advanced functions and formulas for efficient data analysis.
• Apply advanced formatting techniques and work with dynamic tables.
• Visualize data using charts, graphs, and sparklines.
• Build and customize pivot tables and pivot charts.
• Clean and transform data using tools like Power Query.
• Automate tasks using macros and VBA.
• Collaborate using cloud-based Excel features.
• Integrate Excel with Power BI for advanced analytics and reporting.

Prerequisites:

This course is designed for users with basic Excel knowledge. Recommended prerequisites include:
• Familiarity with basic Excel functions (e.g., SUM, AVERAGE).
• Understanding of Excel’s interface, navigation, and basic charting tools.
• Experience working with tables and performing simple data analysis.

Audience Profile:

This course is ideal for:
1. Business Professionals: Individuals seeking to improve their productivity and reporting skills.
2. Data Analysts: Professionals working with large datasets requiring advanced analysis techniques.
3. Finance and Accounting Teams: Teams leveraging Excel for financial modeling and reporting.
4. Students and Learners: Aspiring professionals preparing for roles in data analysis or business intelligence.
5. IT Professionals: Individuals supporting data-related tasks and workflows in organizations.

Course Duration: 16 hours