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

Nett Course Fee
$981

Please be advised that as of 1st January 2025, there will be changes to both course fees and subsidies available.

Nett Course Fee (effective 1st January 2025)
$1090

Course Description

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.

Prerequisites

To enrol in this course, you should possess the following:

  • (≥ 16 years old); or
  • 1 year working experience

You should have basic to intermediate skills on MS Excel, know how to work with Excel functions and Pivot Table. Your laptop should be installed with Power Pivot.

Course Objectives

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

• Use Power Query to import data into Excel through external sources such as Text files, CSV files, Web, or Excel workbooks whereby data can be cleaned and prepared for requirements.

• Understand how a Data Model allows you to integrate data from multiple tables, effectively building a relational data source inside an Excel
workbook. Within Excel, Data Models are used transparently, providing tabular data used in PivotTables & PivotCharts.
• Use Power Pivot to perform powerful data analysis and create sophisticated data models. With Power Pivot, you can mash up large volumes of data from
various sources, perform information analysis rapidly, and share insights easily.
• Use Data Analysis Expressions (DAX) to work with data models using formulas and expressions.

Course Outline

INTRODUCTION TO POWER QUERY

  • Installing and Activating a Power Query Add-In
  • Power Query Basics
  • Understanding Query Steps
  • Refreshing Power Query Data
  • Managing Existing Queries
  • Understanding Column-Level Actions
  • Understanding Table Actions
  • Importing Data from Different Sources
  • Managing Data Source Settings
  • Transforming Data
  • Other Useful Transformation
  • Understanding the Append Feature
  • Understanding the Merge Feature

Data Model

  • Understand Database Terminology
    • Databases
    • Tables
    • Records, fields, and values
    • Queries
    • Relationships
    • Power Pivot Internal Data Model
    • Activating the Power Pivot Add-In

Power Pivot and Dax

  • Linking Excel tables to Power Pivot
    • Using the Power Pivot data model
      in reporting
  • Loading data from Microsoft Access databases
  • Loading data from Text/CSV files
  • Getting data from folder
  • Understanding Power Pivot calculation
    • Creating your first calculated
      column
    • Formatting calculated columns
    • Hiding calculated columns from end users
  • Utilizing DAX functions
    • Referencing fields from other tables
  • Understanding Calculated Measures
    • Creating a calculated measure
    • Editing and deleting calculated
      measures
  • Using data with cube functions
  • Key Performance Indicators (KPIs)
    • Create a KPI
    • Edit a KPI
    • Delete a KPI

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

Course Duration:

2 Days (9.00am – 5.00pm)

Course Fee Details:

$981.00 (incl. of 9% GST)

SDF grant entitled, $2/hr x 14hrs = $28
Only applicable to Singaporean and PR employees

Skillsfuture Credit Claimable for Individual
UTAP Claimable

r

This course will no longer be eligible for SDF Grant. 

Please be advised that as of 1st January 2025, there will be changes to both course fees and subsidies available. 

Course Fee Details (effective from 1st January 2025):

$1090 (incl. of 9% GST)

UTAP Claimable

This course will no longer be eligible for SDF Grant.

Course Code ASKPQ8

Course Schedule

Course NameCourse CodeVenueJanuary 2025February 2025March 2025April 2025May 2025June 2025
Introduction to Microsoft Excel Power Query, Data Model, Power Pivot and DAXASKPQ8Hotel23-2427-2827-2824-2529-3026-27