Excel Data Management Features Manage Data with Sorting, Filtering and other tools

  • Speaker:Dennis Taylor
  • Date: 6th July 2017 10:00 AM PST | 01:00 PM EST
  • Duration:90Min
  • Product Code:GRC-90159
  • Delivery Method: Group Internet Based
  • NASBA CPE: 1.5 (1CPE for 50 minutes)
  • Field of Study: Specialized Knowledge (1.5 CPE)
  • Prerequisites: Comfortable working with Excel; some knowledge of sort and filter is helpful, but not required
  • Advanced Preparation: No advance preparation

$189

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Description:

You can do more with Microsoft Excel worksheets than just calculate data -- you can tackle powerful data management needs with ease too! With just a bit of know-how, you can take advantage of the power of Excel to validate data (including the creation of pick lists to ease data entry chores), sort data (based on content, color, or icon), insert automatic subtotals, filter the data to see just what you need to see, convert data to a table and then filter interactively with Slicers, restructure columnar data that has been improperly grouped, eliminate duplicate records in a flash, and use powerful expanded functions to analyze the data in any list, regardless of size.

 key Learning Objectives of your Topic:
•    Learn the fastest, most efficient ways to sort data; sort by content, by color, or based on the order of data in a custom list; sort in random order or by re-arranging columns left-to-right
•    Re-structure improperly grouped columnar data with Flash Fill or the Text to Columns feature
•    Master the myriad ways of filtering data to display just the data you need
•    Eliminate duplicate records from a large database
•    Insert a row of subtotals in a sorted list without tediously creating new rows and formulas
•    Create drop-down lists to accelerate data entry, with improved accuracy and consistency
•    Convert lists into tables – gain easier data-handling, filtering with Slicers, and enhanced visual features
•    Learn valuable functions that help you understand your data – COUNTIF, SUMIF, and more… 

 Areas you will be touching during the Session:
•    Data Validation
•    Sorting
•    Filtering
•    Advanced Filter
•    Converting data to a Table
•    Using Slicers to accentuate fields currently being shown (and which ones are not)
•    Automatic insertion of Subtotals
•    Eliminating duplicate entries in a list
•    Use functions designed to work with list-like data

 what industries will benefit from your training:
If you are familiar with many of Excel’s features, but have limited use with data management tools, you are a good candidate for this course. Also, those users familiar with sorting and filtering but new to using tables will also benefit from this session. These features are potentially valuable to nearly all Excel users.
 who will benefit from this topic:
Anyone needing to manage lists of data by using validation, sorting, filtering, using slicers, and other data management features will benefit from this presentation.

Instructor Profile:
Dennis Taylor has taught thousands of Excel seminars and classes since the early 90’s, is the author/presenter of over 600 Excel webinars, and authored or co-authored six books on spreadsheet software. He has taught hundreds of public Excel seminars in the US and Canada since 2006 and has recorded over 100 Excel courses both for online and DVD distribution.


Refund and Cancellation Policy:
For information on refund or cancellation please refer here https://www.grcts.com/refund-cancellation-policy

GRCTS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org

Available Options

Recording - The recording is accessible for 6 months by a single user.

$159

CD - Shipped within 7 working days

$339
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