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Power Pivot: Big Data Analysis Made Easy (Video) (Course Id 2216)

QAS / Registry
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Author:

Lenny Wu, CPA, CGA, MBA

Course Length:

Pages: 20 ||| Review Questions: 5 ||| Final Exam Questions: 8

CPE Credits:

1.5

IRS Credits:

0

Price:

$21.95

Passing Score:

70%

Course Type:

Video
Power Pivot: Big Data Analysis Made Easy (Video) - CPE course for CPAs

Technical Designation:

NonTechnical

Field Of Study:

Computer Software & Applications

Approved Audience:

NASBA QAS - NASBA Registry

Key Takeaways:

This video course introduces Power Pivot as a superior alternative to conventional Excel pivot tables for big data analysis.

  • Explains how Power Pivot overcomes the one million row limit of standard Excel spreadsheets.
  • Covers how Power Pivot combines multiple data sources into one pivot table without needing VLOOKUP.
  • Introduces DAX formulas in Power Pivot and how they can be reused across models.
  • Worth 1.5 CPE credits in Computer Software and Applications as a self study video course on Power Pivot for big data analysis, requiring an 8 question final exam preceded by 5 review questions and a 70% passing score.

Frequently Asked Questions:

This course discovers how Power Pivot overcomes the row limitations of a conventional Excel pivot table.

This course explores essential DAX formulas to get started writing Power Pivot formulas.

This course explores the difference between a calculated column and a calculated field in Power Pivot.

This Power Pivot Big Data Analysis Made Easy video course carries 1.5 CPE credits in Computer Software and Applications as a NonTechnical, self study course, requiring an 8 question final exam preceded by 5 review questions (optional) with a 70% passing score. CPEthink is approved by NASBA as a CPE sponsor and lists this course on the NASBA site as a courtesy for CPAs to search https://nasba.org.

Description:

The course is presented in four parts.

First, brief introduction to Power Pivot and discuss reasons it has become more versatile than the conventional pivot table:

  • Excel spreadsheet has limit of 1 million rows, while Power Pivot can connect to over 1 million rows of data. So no limit on the data sources
  • Power Pivot can combine all data sources into one pivot table. So no more VLOOKUP()
  • A plethora of DAX formulas in Power Pivot. Plus the formulas can be re-used!

Second part is to demonstrate basic maneuvers on how to:

  • map all dimension tables and fact tables together, and
  • incorporate data from ALL sources into 1 pivot table, and

Third, we demonstrate 6 fundamental DAX formulas in Power Pivot to get you started in building advanced models for effective analytics, including:

  • CALCULATE
  • SUMX
  • RELATED
  • SAMEPERIODLASTYEAR

Last, we culminate the webinar with the best practices in Power Pivot modeling, including:

  • Use Measures (or Calculated Fields) over Calculated Column in order to
  • Table naming conventions, and
  • DAX format

Usage Rank:

12222

Release:

2024

Version:

1.0

Prerequisites:

  • Basic Excel knowledge
  • Example: be able to open one Excel file and add a new sheet, etc.
  • Experience Level:

    Overview

    Additional Contents:

    Complete, no additional material needed.

    Additional Links:

    Advance Preparation:

  • Basic Excel knowledge
  • Example: be able to open one Excel file and add a new sheet, etc.
  • Delivery Method:

    QAS Self Study

    Intended Participants:

    Anyone needing Continuing Professional Education (CPE).

    Revision Date:

    08-Apr-2026

    NASBA Course Declaration:

    Participants must complete the final examination within one year of purchase and with a minimum passing grade of 70% or better to receive CPE credit unless otherwise noted on the Course History page (i.e. California Ethics must score 90% or better). After logging in click on the Course History links on your My Courses page for the Begin date and Expire date for the Final Exam.

    Keywords:

    Power Pivot: Big Data Analysis Made Easy (Video) - CPE course for CPAs

    Learning Objectives:

    Course Learning Objectives

    After this course, you will be able to:
    • Discover Power Pivot as the big data analysis tool
    • Identify the best practices in Power Pivot modeling
    • Recognize Power Pivot’s essential steps in relationship and integration
    • Discover 6 essential DAX formulas to get you started in Power Pivot formula writing
    • Explore differences between a calculated column and a calculate field

    Course Contents:

    Chapter 1 - Power Pivot: Big Data Analysis Made Easy

    Chapter 1 Review Questions

    Glossary/Index

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