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Mastering DAX for Microsoft Power BI

SS Course: 3000669

Course Overview

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DAX is the native language behind Microsoft PowerBI and other Microsoft data tools. It s designed as a flexible, powerful syntax for working with various data types and crafting functions to manipulate and analyze data.

Even for beginners, PowerBI out of the box offers incredible analysis capability. However, for those who are comfortable with basic features and are ready to truly unlock PowerBI s potential, DAX is the key. Learning to use DAX within PowerBI gives you the power to perform incredibly fine-grained analysis and data manipulation.

                                                                  

Scheduled Classes

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05/13/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
06/12/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
07/15/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
08/19/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
09/23/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
10/16/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
11/13/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
12/18/24 - AVT - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)

What You'll Learn

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In this class, you will get hands-on experience with DAX and learn it s full range of functions. Led by an expert, you ll get practice applying DAX skills to real-world datasets and real-world analysis problems. You ll leave class ready to extend your role well beyond that of most PowerBI users applying skills to manipulate, analyze, and communicate about data precisely and powerfully.

Outline

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Viewing outline for:

Part 1: Introduction to DAX

  1. What is DAX?
  2. Why use DAX with Power BI
  3. Calculated Columns vs Measures
  4. Types of Functions
    1. Logical Functions
    2. Table manipulation functions
    3. Date and time functions
    4. Filter functions
    5. Financial functions
    6. Math and Trig functions 
    7. Parent and Child functions
    8. Relationship functions 
    9. Statistical functions
    10. Text functions
    11. Time intelligence functions

Part 2: Logical functions

  1. TRUE
  2. FALSE
  3. IF
  4. IFERROR
  5. AND
  6. OR
  7. SWITCH
  8. COALESCE

Part 3: Tables

  1. Tables Overview
  2. Filtering Tables
    1. FILTERS
    2. TOPN
  3. Summarizing Tables
    1. SUMMARIZE
    2. SUMMARIZECOLUMNS
    3. ROLLUP
    4. GROUPBY
  4. Generating Tables
  5. Distinct Values
    1. DISTINCT column
    2. DISTINCT table
  6. Joining Tables
    1. CROSSJOIN
    2. NATURALINNERJOIN
    3. NATURALLEFTOUTERJOIN
  7. Adding Values
    1. Columns
    2. Missing items
  8. Table Constructor

Part 4: Date and Time Functions

  1. Date and Time Functions Overviews
  2. Units of Time
  3. Creating a Calendar
    1. CALENDAR
    2. CALENDARAUTO
  4. Dates
  5. TODAY
  6. NOW
  7. TIME
  8. TIMEVALUE

Part 5: Filter Functions

  1. Filter Functions Overview
  2. Filtering Tables
    1. FILTER
    2. REMOVEFILTERS
    3. ALL (ALL, ALLCROSSFILTERED, ALLEXCEPT, ALLNOBLANKROW, & ALLSELECTED)
    4. CALCULATETABLE
    5. KEEPFILTERS
  3. CALCULATE
  4. LOOKUPVALUE
  5. SELECTEDVALUE

Part 6: Financial functions

  1. Accrued Interest
    1. ACCRINT
    2. ACCRINTM
  2. Depreciation
    1. DB
    2. DDB

Part 7: Relationships Functions

  1. CROSSFILTERS
  2. RELATED
  3. RELATEDTABLE
  4. USERELATIONSHIP
  5. Parent and Child Functions
    1. PATH
    2. PATHCONTAINS
    3. PATHITEM
    4. PATHITEMREVERSE

Part 8: Text functions

  1. FIND
  2. SEARCH
  3. REPLACE
  4. FORMAT
  5. LOWER
  6. UPPER
  7. RIGHT
  8. LEFT
  9. COMBINEVALUES
  10. CONCATENATE
  11. CONCATENATEX
  12. EXACT
  13. FIXED
  14. LEN
  15. MID
  16. SUBSTITUTE
  17. TRIM
  18. VALUE

Part 9: Statistical functions

  1. Central Tendencies
    1. Averages
    2. Means
    3. Geo means
  2. Counting
    1. Counting and COUNTX
    2. Blanks, and rows
    3. Distinct count: distinct, approximate, no blank
  3. Min/Max
    1. MAX, MAXA and MAXX
    2. MIN, MINA and MINX
  4. Sample
  5. Distributions
    1. Normal
    2. Exponential
    3. Beta
    4. Poisson
  6. Inverse
  7. Percentiles
  8. Ranking
  9. Standard Deviation
  10. Variance
    1. VAR.P and VARX.P
    2. VAR.S and VARS.P

Prerequisites

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Professionals who take this course need to be familiar with Microsoft Power BI s basic features and already feel comfortable with navigating both the Desktop and Online version of the tool. It is recommended to take our Microsoft Power BI: Data Analysis Professional training prior to this course, or have equivalent work experience.

    Related Certifications

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    Who Should Attend

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    Some professionals who would find this course particularly beneficial include: 

    • Analysts
    • Database Administrators
    • Senior Business Intelligence Architects
    • Business Intelligence Consultants
    • Senior Business Analysts
    • Digital Marketers
    • Data Strategists
    • IT Specialists
    • IT Managers
    • IT Directors
    • Financial Specialists

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