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Ranges and Data Cleanup: Learn Excel 365
on-demand course

Ranges and Data Cleanup: Learn Excel 365

with Simon Sez IT
August 2025
Intermediate
27m
English
Simon Sez IT
Closed Captioning available in German, English, Spanish, French, Italian, Japanese

Overview

Ranges and Data Cleanup teaches you essential Excel skills to manage your data efficiently and accurately. You will gain techniques for selecting, modifying, and organizing data ranges, enabling you to work faster and more precisely.

You will start by learning to select contiguous and non-contiguous ranges using clicks, drags, and helpful shortcuts. You’ll practice inserting and deleting rows or columns and adjusting widths and heights to create a clear, readable spreadsheet. You will also use Excel’s Remove Duplicates feature to eliminate redundant entries, keeping your data accurate and easy to work with.

Learning continues with advanced filtering, applying multiple conditions to find what you need. You will also explore outlining tools to collapse or expand sections of large datasets, making them easier to navigate. In addition, you will learn how to work with data consolidation to combine information from multiple sources into a single, organized view, for summarizing reports or combining datasets from different teams.

By the end, you will be able to select and manage data, clean up large spreadsheets confidently, and present information in a clear, professional format. These skills will help you save time, improve accuracy, and make better decisions based on well-organized data. Whether for work, school, or personal projects, you’ll be able to manage Excel data tasks more effectively and with greater confidence.

In this course, you’ll learn how to:

  • Select Excel data ranges with precision and care.
  • Employ keyboard shortcuts to select data quickly.
  • Confidently insert or delete rows and columns.
  • Accurately adjust column widths and row heights.
  • Cleanup datasets using the 'Remove Duplicates' tool.
  • Filter datasets with advanced criteria application.
  • Manage data visibility with outlining techniques.
  • Consolidate regional datasets into one summary.
  • Ensure data consolidation accuracy within Excel.
  • Handle unique entries during data aggregation.

  • The following files are included in the Resources section below:

    Course Files - Used to follow along with the instructor during lessons.

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    Publisher Resources

    ISBN: 10494SSIMONSEZIT