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.

You’ll hands-on 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.

Next, you’ll 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.

Next, you’ll 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

    CourseVenueMar-20Apr-20May-20Jun-20Jul-20Aug-20
    Introduction to Microsoft Excel Power Query, Data Model, Power Pivot and DAXHotel19-20-21-22--

    September 2015

    SMTWTFS
    30
    31
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    14
    15
    16
    17
    18
    19
    20
    21
    22
    23
    24
    25
    26
    27
    28
    29
    30
    1
    2
    3
  • 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)

Click here for UTAP Fundings

Registration

Click here to download registration form.

For Organisations on HRMS Learning Hub, you are strongly encouraged to use this platform for registration.

Apply Online

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


All registration should be submitted at least 1 week before course commencement. Please call us directly to check on the class status.

A. Company Particulars

Company Name*

Company Address*

Postal Code*

B. Training Coordinator / Contact Person

TC / Contact Person Name*

TC / Contact Person Email*

Contact Number*

Fax Number

C. Billing Information


Billing Contact Person Name*

Billing Contact Person Email*

Billing Contact Number*

Billing Fax Number

Business Unit (BU / SBU)

For Businesses or Government Agencies using the e-invoice system only.

Are you applying for SDF Grant?

Applicable to some select IT and Softskills Courses.

D. Participants

Participant 1*

Course Start Date*

Course End Date*

Participant 2

Course Start Date*

Course End Date*

Participant 3

Course Start Date*

Course End Date*

Have more than 3 participants?

Attach their particulars here (PDF, Word .doc, Excel .xls)

I have Read and Agree to the Terms and Conditions


We do not sell or share your information with anyone else.

Share this course