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Microsoft Excel - Business Intelligence Course Overview

Microsoft Excel - Business Intelligence Course Overview

The Microsoft Excel - Business Intelligence course is tailored for those looking to leverage the advanced capabilities of Excel for dynamic data analysis and business intelligence. With a practical curriculum, it guides students through the "Power Excel" workflow, utilizing Power Query and Power Pivot to connect, transform, and analyze large volumes of data.

Starting with an introduction to the Power tools and when to use them, the course progresses to hands-on lessons on Power Query for data preparation and cleansing. Learners will understand how to connect to various data sources, perform basic to advanced transformations, and adopt best practices.

The course dives into creating relationships within Excel's Data Model, teaching normalization principles and the benefits of related tables. Subsequent modules focus on crafting interactive dashboards using Power Pivot, featuring Slicers, Timelines, and Conditional Formatting for insightful data presentations.

A capstone project at the end provides a real-world application of the skills learned, ensuring that participants can harness Excel's full potential for business intelligence tasks. With these tools and techniques, learners will be well-equipped to derive meaningful insights from their data, making them valuable assets in any data-driven business environment.
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Course Prerequisites

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.

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