Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Power Pivot Workshop Intermediate
Rating: 4.7 out of 5(44 ratings)
95 students
Last updated 12/2014
English

What you'll learn

  • By the end of the course, you will be able to write DAX expressions performing calculations such as Ratio-to-Parent, Year-to-Date, Year-Over-Year and so on.

Course content

6 sections21 lectures3h 4m total length
  • Introduction to DAX13:37

    DAX is the programming language of Power Pivot. This module provides the basic information to understand what a DAX expression is and how to start writing your DAX code.

  • Calculated Columns and Calculated Fields19:01

    It is important to learn when to use calculated columns versus calculated fields. They are useful in different scenario. In this lecture, we highlight the differences between them, and clarify when to choose one or the other.

  • DAX Error Handling4:17

    Your formulas can contain errors, due to bad or unexpected data. In this lecture, you learn how to prevent errors in data that might break your reports.

  • Overview of DAX Functions18:50

    This lecture shows some examples of most of the categories of DAX functions, which we will use extensively in the following lectures.

Requirements

  • Power Pivot for Excel 2010 or Excel 2013

Description

The Intermediate course improves your skills on Power Pivot for Excel, introducing you to the DAX language and important features such as CALCULATE and Time Intelligence functions.

The course includes 3 hours of video in 19 lectures. You need a minimal experience of Power Pivot, or you should take the Beginner course before this one.

Sections included in this course:

  • DAX Language
  • Table Functions and CALCULATE
  • Basic Time Intelligence
  • Power BI and SharePoint

After this course, we suggest you to take the Power Pivot Workshop Advanced one.

Who this course is for:

  • Advanced Excel Users
  • Business Analysts
  • Business Intelligence Developers
  • Data Scientists