Efficiently Manipulate Data: Learn advanced data manipulation techniques to clean, transform, and analyze data effectively.

Automate Tasks: Discover how to automate repetitive tasks using macros, and Excel functions.

Enhance Data Visualization: Master advanced charting and graphing capabilities to create insightful visual representations of data.

Perform Complex Analysis: Explore advanced data analysis tools such as PivotTables, Power Query, and Power Pivot for in-depth data analysis.

Collaborate Effectively: Understand Excel's collaboration features, including sharing workbooks and tracking changes.

Improve Efficiency: Increase productivity with keyboard shortcuts and time-saving Excel tips and tricks

Participants will be able to to import, clean, and transform data from various sources to make it suitable for analysis in Power BI.<br>

Participants will be able to explore the process of creating data models, relationships, and hierarchies to build a strong foundation for reporting. .<br>

Participants will be able to gain proficiency in creating different types of visualizations, such as charts, tables, maps, and more, to represent data effectively. .<br>

Participants will be able to dive deeper into advanced visualization techniques, including custom visuals and the use of DAX (Data Analysis Expressions) to perform complex calculations and create custom measures for deeper data insights. .<br>

Participants will be able to design interactive and aesthetically pleasing reports, including themes, layouts, and report navigation. .<br>

Participants will be able to publish Power BI reports to the Power BI Service and share them with others in your organization. .<br>

By the end of this course, participants will be able to:

Explore the fundamentals of Power Query and Power Pivot.

Import and transform data from various sources using Power Query.

Clean and prepare data for analysis with Power Query.

Create data models using Power Pivot.

Build relationships between data tables for comprehensive analysis.

Write DAX (Data Analysis Expressions) formulas for custom calculations.

Create interactive and dynamic reports and dashboards.

Enhance data visualization and storytelling in Excel.

Troubleshoot common issues and optimize data models.

Automate data refresh and update processes.

Proficient Data Analysis Skills: By the end of the course, participants will be able to collect, clean, and analyze data using Google Sheets, perform statistical analysis, and create visualizations to derive meaningful insights from diverse datasets.

Effective Data Reporting: Participants will learn to design and develop professional-quality reports and interactive dashboards using Google Data Studio, enabling them to present data-driven findings in a clear and engaging manner to diverse audiences.

Hands-On Application: The course aims to equip participants with practical skills through hands-on exercises and real-world projects. By completing the course, participants should be able to apply their knowledge to real data analysis tasks in their respective fields or professions.