Microsoft Excel - Business Intelligence Course Overview

To ensure you are prepared to take full advantage of the Microsoft Excel - Business Intelligence course, we recommend meeting the following minimum prerequisites:

• Basic understanding of Microsoft Excel functions and features.
• Familiarity with Excel's interface, such as navigating through ribbons, working with cells, and organizing worksheets.
• Experience with creating and formatting simple spreadsheets, including the use of formulas and functions like SUM, AVERAGE, and VLOOKUP.
• Ability to manage data in Excel, such as sorting, filtering, and basic data entry.
• An understanding of basic data concepts such as rows, columns, tables, and data types.
• Willingness to learn and apply new data analysis techniques within Excel.

By meeting these prerequisites, you will be well-positioned to leverage the powerful tools taught in the Business Intelligence course and apply them to your data analysis tasks.

Target Audience for Microsoft Excel - Business Intelligence

The Microsoft Excel - Business Intelligence course equips learners with advanced Excel analytics to drive business insights.

• Data Analysts
• Business Analysts
• Financial Analysts
• Marketing Analysts
• Business Intelligence Professionals
• Report Writers
• Project Managers
• Operations Managers
• IT Professionals
• Management Consultants
• Researchers
• Administrative Staff seeking to enhance reporting skills
• Excel Power Users
• Anyone aspiring to improve data-driven decision-making skills

Learning Objectives - What you will Learn in this Microsoft Excel - Business Intelligence?

Introduction to Microsoft Excel - Business Intelligence Course Learning Outcomes:

Gain proficiency in Excel's powerful BI tools, including Power Query, Power Pivot, and Data Model, to transform, analyze, and visualize complex data for informed decision-making.

Learning Objectives and Outcomes:

• Understand the integrated "Power Excel" workflow to maximize business intelligence capabilities.
• Utilize Power Query for data connection, transformation, and automation, enhancing productivity and efficiency.
• Master Power Pivot for complex data models and create sophisticated analysis with DAX formulas.
• Develop skills to connect and transform data from various sources using Power Query Editor.
• Create and manage relationships within Excel's Data Model, ensuring accurate and insightful data analysis.
• Design interactive dashboards with advanced features such as slicers, timelines, and conditional formatting for dynamic data presentations.
• Implement data validation and sorting techniques to maintain data integrity and facilitate easier analysis.
• Apply best practices in Excel for building reliable and scalable data models and reporting solutions.
• Learn to use Excel's Data Model to create hierarchies and understand the principles of database normalization.
• Complete a capstone project to apply learned concepts on a real-world dataset, demonstrating the ability to deliver business intelligence solutions.