Introduction to Microsoft Excel Power Query, Data Model, Power Pivot and DAX New

Course Code: ASKPQ8

Introduction to Microsoft Excel Power Query, Data Model, Power Pivot and DAX


Introduction to Microsoft Excel Power Query, Data Model, Power Pivot and DAX

This course introduces Microsoft Excel’s powerful data modeling and business intelligence tools: Power Query, Power Pivot, and Data Analysis Expressions (DAX).


Business intelligence (BI) is a collection of tools and processes that are used to gather data and turn it into meaningful information that people can use to make better decisions.

At the end of the 2 days training, you will be able to

  • have hands-on experience with Power Query; a tool that extract, cleanse, transform, and load data from flat files, folders, databases and more. You’ll practice shaping, blending and exploring the project files, and create completely automated loading procedures with only a few clicks.
  • Explore the Data Modeling and cover the fundamentals of database design and normalization (including table relationships, hierarchies and more). You’ll take a tour through Excel’s data model interface, and then create your own relational database to analyze throughout the course.
  • Use Power Pivot and DAX to explore and analyze the data model. Unlike traditional Pivot Table, Power Pivot allows you to analyze hundreds of millions of rows across multiple data tables, and create powerful calculated fields and measures using a formula language called Data Analysis Expressions (or “DAX” for short). You’ll learn basic DAX syntax, then introduce some of the most commonly-used and powerful functions like CALCULATE, FILTER, SUMX and more.
  • Course Dates and Venue

    Course Duration: 2 days (16 hours) 9am – 5pm

    Introduction to Microsoft Excel Power Query, Data Model, Power Pivot and DAXHotel-12-13-18-19-15-16

    September 2015

  • Section 1: Introduction

    1. The Business Intelligence components
    2. Benefits of Business Intelligence tools
    3. When to use Power Query and Power Pivot

    Section 2: Power Query

    1. Types of data connections
    2. The Query editor and tools
    3. Data loading options
    4. Basic table transformations
    5. Using various data types specific tools
    6. Index and conditional columns
    7. Pivot and Unpivot
    8. Grouping and aggregating data
    9. Working with workbook queries; merging, appending, deleting
    10. Connecting to a folder of files
    11. Refreshing the query

    Section 3: Data Modeling

    1. Starting Data Model
    2. Changing to different views
    3. Database Normalization
    4. Data tables vs Lookup tables
    5. Primary and Foreign keys
    6. Working with tables relationship; creating, modifying, deleting
    7. Active vs Inactive relationships
    8. Relationship Cardinality
    9. Filter direction
    10. Hiding fields from client tools
    11. Defining hierarchies

    Section 4: Power Pivot

    1. Normal Pivot Table vs Power Pivot
    2. Introduction to Data Analysis Expressions (DAX)
    3. Creating Power Pivot
    4. Calculated columns
    5. Introduction to DAX Measures
    6. Creating Implicit and Explicit Measures
    7. Managing Measures
    8. Calculated Columns vs Measures

    Section 5: Common DAX Functions

    1. DAX syntax
    2. DAX operators
    3. Common DAX function categories
    4. Math & Stats functions
    5. Basic Logical functions
    6. Text functions
    7. Filter functions
    8. Iterator (“X”) functions
    9. Basic Date & Time functions
    10. Time Intelligence functions (optional)
    1. Excel users who want to learn more advanced data modeling & business intelligence tools
    2. Anyone looking to become a power Excel user and enhance their analytics skillset
    3. Company that have more than 1,048,576 rows of data (maximum rows in Excel worksheet) and want to go beyond the limits.

Fees and Grants

$856.00 per participant (Inc. GST)

SDF subsidy: $2 per training hour. please refer to Course Fee and Absentee Payroll Funding 

Click here for UTAP Fundings


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Introduction to Microsoft Excel Power Query, Data Model, Power Pivot and DAX (ASKPQ8)

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