Microsoft PowerBI - Improve Data Analysis with DAX Measures

Description

* This course is #5 in the Microsoft PowerBI series of webinars. Click button in Program Content section below to see suggested viewing order. *

This course focuses on improving your data so that it contains the information you need to analyze. One major issue of data analysis, is bad data, so this course will focus on turning bad data into good data. Attendees will learn the difference between calculated columns and measures as well as how and when to use each.

We will introduce DAX formulas and how they are used to create calculations. We will introduce Power Pivot as a means to demonstrate our calculations and measures and how they are used for data analysis.

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

Friday, March 15, 2019
Registration Time: 1:00pm
1:00pm – 3:00pm

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Course Type

On-line Live Vendors

CPE Credit

2.00 hours CPE credit

Field of Study

Specialized Knowledge & Applications

Level of Knowledge

Intermediate

Designed For

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

Vendor

CPA Crossings

Prerequisites

Attended Excel - Using PivotTables for Data Analysis AND Microsoft PowerBI - Introduction to Data Analysis in Excel or Equivalent Knowledge

Advanced Preparation

Installed Power Pivot

Highlights

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

  • Introduction to Formulas and DAX
  • Calculated columns
  • Measures
  • Introduction to Power Pivot
This course is #5 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 .

  • Have a complete understanding of the difference between calculated columns and measures
  • Understand how calculations and measures can improve your data analysis
  • Know basic DAX formula creation

Location

N/A (This is a webcast)
Member Fee $79.00
Non-Member Fee $79.00
Your Price $79.00

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