Microsoft PowerBI - Power Pivot for Advanced Data Analysis

Description

* This course is #6 in the Microsoft PowerBI series of webinars. Click button in Program Content section below to see suggested viewing order. *


This course focuses on using the Power Pivot features to enhance data analysis. One of the strengths of Power Pivot is the formula language DAX (Data Analysis eXpressions). We will spend considerable time using the power of DAX to create meaningful calculations that add new dimensions to our data.

We will also review the use of a date or calendar table that allows us to perform date analysis that was never possible before. This will allow us to use the new time-intelligent functions to perform complex calculations on our data like: month-to-date, quarter-to-date, year-to-date, last year same period, last year-to-date, etc. We will also demonstrate the hottest tips and tricks that will take your data analysis to the next level.

This event may be a rebroadcast of a live event and the instructor will be available to answer your questions either during or after the event.

Date/Time

Tuesday, January 22, 2019
Registration Time: 12:00pm
12:00pm – 4:00pm

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Course Type

On-line Live Vendors

CPE Credit

4.00 hours CPE credit

Field of Study

Specialized Knowledge & Applications

Level of Knowledge

Advanced

Designed For

All CPAs and Accounting Professionals that want to learn how to analyze data

Vendor

CPA Crossings

Prerequisites

Attended Microsoft PowerBI - Improve Data Analysis with DAX Measures

Advanced Preparation

Install Power Pivot

Highlights

The major topics that will be covered in this class include:

  • Using Power Pivot for data analysis
  • Advanced DAX formulas
  • Using a Date / Calendar table for data analysis
This course is #6 in the Microsoft PowerBI series of webinars. Click button below to see suggested viewing order.

View Series Sequence

Objectives

After attending this presentation, you will be able to.

  • Use Power Pivot for data analysis
  • Create advanced DAX formulas
  • Utilize a Date / Calendar table to perform complex date analysis

Location

N/A (This is a webcast)
Member Fee $129.00
Non-Member Fee $129.00
Your Price $129.00
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