Professional Course

Mastering DAX for Microsoft Power BI

Length
3 days
Price
1,795 USD
Next course start
13 May, 2024 (+8 start dates)
Delivery
Virtual Classroom
Length
3 days
Price
1,795 USD
Next course start
13 May, 2024 (+8 start dates)
Delivery
Virtual Classroom
This provider usually responds within 48 hours 👍

Course description

Learn the full range of DAX functions in Power BI.

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.

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.

Upcoming start dates

Choose between 8 start dates

13 May, 2024

  • Virtual Classroom
  • Online

12 June, 2024

  • Virtual Classroom
  • Online

15 July, 2024

  • Virtual Classroom
  • Online

19 August, 2024

  • Virtual Classroom
  • Online

23 September, 2024

  • Virtual Classroom
  • Online

16 October, 2024

  • Virtual Classroom
  • Online

13 November, 2024

  • Virtual Classroom
  • Online

18 December, 2024

  • Virtual Classroom
  • Online

Training content

Course Outline

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
    • Logical Functions
    • Table manipulation functions
    • Date and time functions
    • Filter functions
    • Financial functions
    • Math and Trig functions
    • Parent and Child functions
    • Relationship functions
    • Statistical functions
    • Text functions
    • 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
    • FILTERS
    • TOPN
  1. Summarizing Tables
    • SUMMARIZE
    • SUMMARIZECOLUMNS
    • ROLLUP
    • GROUPBY
  1. Generating Tables
  2. Distinct Values
    • DISTINCT column
    • DISTINCT table
  1. Joining Tables
    • CROSSJOIN
    • NATURALINNERJOIN
    • NATURALLEFTOUTERJOIN
  1. Adding Values
    • Columns
    • Missing items
  1. Table Constructor

Part 4: Date and Time Functions

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

Part 5: Filter Functions

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

Part 6: Financial functions

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

Part 7: Relationships Functions

  1. CROSSFILTERS
  2. RELATED
  3. RELATEDTABLE
  4. USERELATIONSHIP
  5. Parent and Child Functions
    • PATH
    • PATHCONTAINS
    • PATHITEM
    • 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
    • Averages
    • Means
    • Geo means
  1. Counting
    • Counting and COUNTX
    • Blanks, and rows
    • Distinct count: distinct, approximate, no blank
  1. Min/Max
    • MAX, MAXA and MAXX
    • MIN, MINA and MINX
  1. Sample
  2. Distributions
    • Normal
    • Exponential
    • Beta
    • Poisson
  1. Inverse
  2. Percentiles
  3. Ranking
  4. Standard Deviation
  5. Variance
    • VAR.P and VARX.P
    • VAR.S and VARS.P

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