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Excel: Advanced Tools and Techniques

Become an Excel power user and increase your efficiency and expertise in this key business application. Discover how to consolidate data across workbooks, control the type of data to be entered in a specific cell or range of cells, and create drop-down lists. Increase your knowledge by understanding how to use the advanced functions with emphasis on the most useful for all types of fields. Get familiar with Excel’s powerful pivot table tool to analyze, summarize, and present data in reports and pivot charts, while using slicers as the dashboard for the displayed data. Learn to apply conditional formatting to your data so that you can instantly understand the trends in it. Save time by recording and running macros to automate tasks that you perform repetitively. Learn how to protect data in a worksheet, and much more.
 

More details

You'll Walk Away with

  • An understanding of how to find and use advanced Excel functions
  • The skills to automate repetitive tasks by creating macros that run tasks with just one click
  • Familiarity with all aspects of manipulating, moving, and analyzing data in pivot tables, pivot charts, and slicer dashboards to produce various essential reports
  • The ability to consolidate data across workbooks, control the type of data to be entered in a cell or a range of cells, and create drop-down lists using the data validation tool

Ideal for

  • Professionals from entry to senior level in any industry
  • Those who already have formal intermediate Excel training
  • Those who know how to manually write the basic functions and to use the auto functions, the fill handle, fill handle options, and cell naming

2 sections

  • Fall 2024

    • Section

      001
    • Semester

      Fall 2024
    • Date

      Nov 12 - Nov 21
    • Day

      Tu, Th
    • Time

      6:30PM-8:15PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      4
    • Faculty

      Diperna, Mary
    • Location

      Instructor Led
  • Spring 2025

    • Section

      001
    • Semester

      Spring 2025
    • Date

      Mar 25 - Apr 3
    • Day

      Tu, Th
    • Time

      6:30PM-8:15PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      4
    • Faculty

      TBA
    • Location

      Instructor Led