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Microsoft Excel - Power Pivot Course Overview

Microsoft Excel - Power Pivot Course Overview

The Microsoft Excel - Power Pivot course is designed to equip learners with advanced data analysis skills, enabling them to transform large volumes of data into meaningful insights. Power Pivot is a powerful data modeling tool integrated with Excel, enhancing its traditional capabilities with improved data processing and the ability to handle complex data relationships.

Module 1 introduces learners to the PowerPivot environment, teaching them how to start the tool within Excel, navigate its window, and explore its features. Module 2 delves into adding data from various sources, utilizing Power Query, and creating linked tables. In Module 3, participants learn to prepare data for analysis by managing tables, columns, and creating relationships. Module 4 focuses on data formatting and layout, including the manipulation of tables and columns.

Module 5 and Module 6 dive deeper into PowerPivot's core functionalities, explaining the intricacies of relationships and advanced calculations using the DAX language. Learners will create robust formulas and understand how to filter and aggregate data within their models. Module 7 enables learners to showcase their data analysis through PivotTables, PivotCharts, and reports, while Module 8 provides a practical understanding of Key Performance Indicators (KPIs), crucial for measuring business success.

This course empowers learners to harness the full potential of Excel's PowerPivot, transforming them into proficient data analysts capable of making data-driven decisions.

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Course Prerequisites

To ensure that you can successfully undertake training in the Microsoft Excel - Power Pivot course, the following are the minimum required prerequisites:


  • Basic understanding of Microsoft Excel operations, such as entering data, working with worksheets, and familiarity with Excel's ribbon interface.
  • Knowledge of fundamental Excel functions and the ability to create and format tables.
  • Experience with summarizing data using basic PivotTables in Excel.
  • An understanding of basic data concepts, such as data tables, rows, columns, and basic database principles.
  • Familiarity with importing data from various sources into Excel (although detailed knowledge of Power Query is not a prerequisite, it will be beneficial).
  • Willingness to learn and work with new analytical tools within Excel.

These prerequisites are designed to ensure that you have a foundational understanding of Excel, which is essential for grasping the more advanced analytical capabilities of Power Pivot. With these skills, you will be well-prepared to maximize the benefits of the Power Pivot course and apply the learned concepts effectively in your data analysis tasks.


Target Audience for Microsoft Excel - Power Pivot

The Microsoft Excel - Power Pivot course enhances data analysis skills for professionals seeking advanced Excel capabilities.


  • Data Analysts
  • Business Intelligence Professionals
  • Financial Analysts
  • Reporting Specialists
  • Marketing Analysts
  • Business Analysts
  • Data Scientists
  • Operations Managers
  • IT Professionals
  • Project Managers
  • Excel Power Users
  • Management Accountants
  • Database Administrators who use Excel
  • Consultants who analyze business data
  • Professionals in roles requiring data consolidation and analysis


Learning Objectives - What you will Learn in this Microsoft Excel - Power Pivot?

Introduction to Learning Outcomes:

Master the essential skills of Microsoft Excel's Power Pivot to transform and analyze massive data sets, establish relationships, and create compelling reports through practical, hands-on training.

Learning Objectives and Outcomes:

  • Launching and navigating the PowerPivot window to manage data models effectively within Excel.
  • Importing and integrating data from various sources, utilizing Power Query for advanced data transformations.
  • Preparing and structuring large datasets for analysis by managing tables, columns, and relationships.
  • Applying fundamental concepts of the DAX language to create robust calculated columns and measures.
  • Establishing and managing complex relationships between multiple data tables to enable in-depth analyses.
  • Crafting advanced calculations for data analysis, incorporating aggregation, filtering, and relationship-based formulas.
  • Designing interactive PivotTables and PivotCharts to summarize and visualize data, with the ability to create and modify reports.
  • Implementing slicers in PivotTables for dynamic data filtering and enhancing report interactivity.
  • Understanding and constructing Key Performance Indicators (KPIs) to measure and track performance against goals.
  • Analyzing real-world scenarios such as retail sales to apply learned skills in practical business contexts, focusing on metrics like sales per hour and conversion rates.

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