On Demand Webinar

Excel: Power Pivot – Gain Better Insights into Your Data

Webinar Details $219

  • Rated:
  • Webinar Length: 100 Minutes
  • Guest Speaker:   Mike Thomas
  • Topic:   Business Administration, Business Skills, Software, Taxation and Accounting
  • Credit:   CPE 2.0
All Access Membership

Power Pivot, a free add-in for Excel, written by Microsoft, puts the "power" into Pivot Tables (hence the name!). Power Pivot removes many of the limitations and frustrations that many advanced users find with Pivot Tables. For example, using Power Pivot you can…

  • Create Pivot Tables from multiple Excel-based lists without using VLOOKUP
  • Create Pivot Tables from large datasets without worrying about file size or performance
  • Combine together related data from multiple data sources (Excel, database, text file, etc) into a single Pivot Table
  • Create powerful calculations on the data in your Pivot Tables

Objectives

In this training, you will learn, using practical examples, how Power Pivot provides Business Intelligence functionality & reporting within the familiar environment of Excel.

Why You Should Attend
Your data is only as good as the information you can derive from it. Power Pivot enables you to gain better business insights and make more informed business decisions

If you want to take your reporting capabilities to the next level by learning how to leverage the functionality of Power Pivot, this is a must-attend training session!

Topics covered
  • Importing data into Power Pivot - the why and how
  • Using the Data Model to create and manage relationships
  • The benefits of using the Data Model
  • Creating a Pivot Table from related Excel tables
  • Creating a Pivot Table from related data sources (including external sources)
  • Creating Calculated Columns using DAX

Who Should Attend

This training is aimed at users of Excel (2010 and above for Windows) who wish to learn about Power Pivot.  Attendees should have at least intermediate knowledge of Excel and be familiar with formulas and creating Pivot tables.

 IMPORTANT NOTE: Power Pivot may not be available for your version of Excel. If you are unsure whether this training is relevant for your version of Excel, please check with your IT department.

Level: Intermediate
Format: Live webcast
Instructional Method: Group: Internet-based
NASBA Field of Study: Computer Software & Applications
Program Prerequisites: None
Advance Preparation: None

  1. Introduction
  2. The Data Model 00:02:07
  3. Creating a Pivot Table 00:02:18
  4. My Demo File .xlsx 00:03:06
  5. Why Use The Data Model? 00:04:40
  6. Compared To a Worksheet, The Data Model Can Store More Data 00:04:44
  7. Create Pivot Tables From Multiple Lists 00:05:32
  8. Databases, Text Files, Web Pages, and Sharepoint - The Data Model 00:05:47
  9. DAX - Data Analysis Expressions 00:06:10
  10. New Way of Working 00:06:25
  11. Power Pivot 00:07:48
  12. Power Pivot Demo 00:08:19
  13. Power Pivot 1 File 00:33:25
  14. Importing Data Into The Data Model 00:35:12
  15. Power Pivot 2 File 00:48:48
  16. Power Pivot 4 File 01:06:33
  17. Ice Cream Orders File 01:08:28
  18. Creating a Pivot Table From Multiple Data Sources 01:09:23
  19. Building a Pivot Table From The Data Model 01:15:33
  20. Deleting Source Data 01:17:45
  21. DAX - Data Analysis Expressions 01:22:24
  22. Power Pivot 1 File - DAX Examples 01:23:24
  23. Speaker Comments 01:38:06
  24. Attendee Questions 01:38:34
  25. Presentation Closing 01:42:27
  • Cell 00:02:52
  • Column 00:12:40, 01:31:19
  • Column Headings 00:12:44, 00:20:39
  • Data Model 00:02:07, 00:06:06, 00:16:16, 00:31:18, 00:48:09, 01:15:33
  • DAX - Data Analysis Expressions 00:06:10, 01:22:24, 01:32:37
  • Pivot Table 00:01:49, 00:09:06, 00:23:33, 01:09:31
  • Power Pivot 00:01:46, 00:07:48, 00:22:35
  • Power Query 00:36:08
  • Query 00:30:24, 00:35:11, 00:39:32, 00:45:25
  • Row 00:05:09, 00:12:42
  • Table 00:43:39, 00:56:05
  • Workbook 00:31:17
  • Worksheet 00:03:16, 00:09:23

Cell: In spreadsheet applications, a cell is a box in which you can enter a single piece of data. The data is usually text, a numeric value, or a formula. The entire spreadsheet is composed of rows and columns of cells.

Column: A column is a vertical series of cells in a chart, table, or spreadsheet in Excel.

Column Headings : The column heading or column header is the gray-colored row containing the letters (A, B, C, etc.) used to identify each column in the worksheet. The column header is located above row 1 in the worksheet.

DAX - Data Analysis Expresions: Data Analysis Expressions (DAX) is a library of functions and operators that can be combined to build formulas and expressions in Power BI, Analysis Services, and Power Pivot in Excel data models. DAX is a formula language and is a collection of functions, operators, and constants that can be used in a formula or expression to calculate and return one or more values.

Data Model: A Data Model allows you to integrate data from multiple tables, effectively building a relational data source inside an Excel workbook. Within Excel, Data Models are used transparently, providing tabular data used in PivotTables and PivotCharts.

Pivot Table: A report creation tool in Excel that enables you to quickly summarize lists of data into summary reports by clicking checkboxes and dragging fields onscreen.

Power Pivot: Power Pivot is an Excel add-in you can use to perform powerful data analysis and create sophisticated data models. With Power Pivot, you can mash up large volumes of data from various sources, perform information analysis rapidly, and share insights easily.

Power Query: Power Query is a data connection technology that enables you to discover, connect, combine, and refine data sources to meet your analysis needs. Features in Power Query are available in Excel and Power BI Desktop. Power Query is one of three data analysis tools available in Excel: Power Pivot.

Query: A database query extracts data from a database and formats it in a readable form. A query must be written in the language the database requires; usually, that language is Structured Query Language (SQL). For example, when you want data from a database, you use a query to request that specific information.

Row: A row is the range of cells that go across (horizontal) the spreadsheet/worksheet. Rows are identified by numbers e.g. row 1, row 5. Examples of use. A row might contain the headings of a table e.g. product ID, product name, price, number sold.

Table: A table is an arrangement of data in rows and columns, or possibly in a more complex structure. Tables are widely used in communication, research, and data analysis. Tables appear in print media, handwritten notes, computer software, architectural ornamentation, traffic signs, and many other places.

Text Files : Raw data files that often have file extensions such as .TXT or .CSV. TXT files are sometimes tab-delimited (meaning each field is separated by a tab character) while CSV files are comma-delimited.

Workbook: In Microsoft Excel a workbook is a collection of one or more spreadsheets, also called worksheets, in a single file.

Worksheets: A worksheet is a collection of cells where you keep and manipulate the data. Each Excel workbook can contain multiple worksheets.


Guest Speaker

  • Mike Thomas

CPE Credit

Continuing Professional Education

Aurora Training Advantage 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 website: www.nasbaregistry.org.

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You must answer all questions during the webinar, view the recording completely and pass the test at the end with 70% correct answers to receive CPE credit.