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Microsoft Excel - PivotTables and Data Analysis

  • Length ½ day
Course overview
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Why study this course

This half-day course is intended for all Microsoft Excel users to better understand how PivotTables can help you to make sense of large data sets.

We will cover how to create Pivot Charts from your data, how to use field grouping techniques to extract meaningful summaries of your data, and how to analyse data with conditional formatting techniques.

This course can be utilised for all recent versions of Excel including 365, 2019, and 2016.

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What you’ll learn

At the completion of this course you should be able to:

  • Work with data tables

  • Work with subtotals

  • Create and work with PivotTables

  • Analyse data with Conditional Formatting

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Who is the course for?

This course is designed for existing users of Microsoft Excel who would like to expand their knowledge and learn more of the techniques associated with PivotTables and Data Analysis.

Course subjects

Lesson 1: Working with Data Tables

  • Creating a data table

  • Adding data to a data table

  • Creating formulas in a data table

  • Applying filters to a data table

Lesson 2: Subtotals

  • Creating subtotals

  • Expanding and collapsing detail in subtotalled data

  • Removing subtotals

Lesson 3: Creating and Working with PivotTables and Charts

  • Creating a PivotTable

  • Removing fields from a PivotTable

  • Filtering in a PivotTable

  • Using slicers and timeline in a PivotTable

  • Sorting in a PivotTable

  • Applying number formatting to a PivotTable

  • Adjusting PivotTables

  • Extracting data from a PivotTable

  • Creating and modifying Pivot Charts

Lesson 4: Conditional Formatting

  • Applying data bars

  • Applying basic conditional formatting

  • Removing conditional formatting


This course assumes the user has completed a Microsoft Excel intermediate-level course such as Excel 2019/365 Part 2 or Excel 2016 Part 2, or has the equivalent knowledge.

Terms & Conditions

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

Request Course Information

By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.