Microsoft EXCEL Training Level 3

Table of Contents:
  1. Pivot Tables
  2. Creating Pivot Tables
  3. Refreshing Data
  4. Pivoting Data
  5. Filters
  6. Grouping Data
  7. Pivot Charts
  8. Slicers
  9. Timeline
  10. Calculated Fields and Compatibility

Overview

This Level 3 course focuses on turning raw tables into interactive, presentation-ready reports using advanced PivotTable workflows and practical analytical techniques. Based on Anna Neagu’s workbook-style approach, the guide emphasizes reusable dashboards, clear visualization choices, and robust refresh and compatibility practices so your reports remain accurate and shareable. Task-based walkthroughs and step-by-step exercises teach how to reveal trends, create bespoke KPIs, and deliver insights that stakeholders can act on.

Learning outcomes

  • Design and customize PivotTables to summarize multi-dimensional data efficiently and accurately.
  • Build interactive dashboards with PivotCharts, slicers and timelines to support exploratory and presentation analysis.
  • Create calculated fields and items to produce custom metrics without altering source tables.
  • Use grouping and advanced filtering to surface seasonality, cohort patterns and segment differences.
  • Apply best practices for refreshing data, preserving compatibility, and distributing reports across teams.

Skills and topics covered

The course synthesizes core PivotTable mechanics with practical reporting and visualization tactics. You’ll learn how to structure and clean source data for smooth pivots, choose effective PivotTable layouts, and optimize PivotCharts, slicers and timelines for clear interactivity. The material clarifies when to prefer calculated fields over worksheet formulas, demonstrates grouping strategies for dates and numeric ranges, and highlights compatibility considerations to maintain functionality across Excel versions and environments.

Who should use this guide

Ideal for intermediate-to-advanced Excel users—data analysts, finance and operations professionals, BI practitioners, project leads and analytics students—this guide suits anyone who regularly prepares reports, builds dashboards, or needs to analyze large tables quickly. Familiarity with basic PivotTables and common formulas helps, but the emphasis is on repeatable reporting workflows rather than complex formula construction.

How to work through the content

Follow exercises in sequence and apply each technique to your own datasets. Start by recreating sample PivotTables to internalize layout and aggregation choices, then layer in slicers and timelines to make views interactive. Connect PivotCharts to pivot ranges, experiment with calculated fields to answer business questions, and practice refresh workflows so updates remain reliable. The workbook approach encourages iterative practice, enabling you to adapt methods to your reporting environment and stakeholder needs.

Hands-on exercises & project ideas

Each section includes focused exercises and three end-to-end projects that move from raw data to an interactive dashboard: a sales-analysis dashboard to track performance and seasonality, a customer purchase-patterns report to identify segments and repeat behavior, and an inventory-management summary to monitor stock levels and turnover. These templates reinforce grouping, slicers/timelines, calculated metrics and PivotCharts while demonstrating how to craft a concise data story.

Quick FAQ

Q: Do I need advanced Excel formulas? A: Basic formula knowledge is helpful, but many outcomes are achievable inside PivotTables using calculated fields, aggregation and built-in grouping.

Q: Are the dashboards presentation-ready? A: Yes—when you apply layout best practices, consistent formatting and well-configured PivotCharts and slicers, dashboards are suitable for stakeholder presentations and interactive review.

Q: Does the guide address collaboration and compatibility? A: Yes—it highlights common pitfalls and provides tips to preserve functionality when sharing workbooks across different Excel versions or environments.

Next step

Apply the exercises to a real dataset from your work or studies and build one of the project templates end-to-end. Repeating these workflows will speed reporting, improve accuracy and make it easier to communicate insights to stakeholders. Use the guide’s practical tips to standardize reporting processes and scale your dashboards across teams.


Author
Anna Neagu - MountAllison University
Downloads
7,253
Pages
28
Size
904.82 KB

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