An Intensive 5-Day Online Training Course

Advanced Analytics with Microsoft Tools

  • Format: Live / Online
  • Duration: 5 days
  • Language: English
  • Accredited: KHDA,


16 - 20 Oct 2023 Live/Online US $ 3950 Enroll now

Advanced Analytics include aggregating, analysing, visualizing and sharing data and insights in an interactive format to support effective decision making. Microsoft Power BI is a business intelligence platform that provides non-technical business users with tools for advanced analytics and visualization of business data. This online training course is designed to provide detailed information on how to use Power BI in making good decisions leveraging Microsoft Power BI. This online training course includes:

  • Connect to data
  • Analyse and manipulate that data
  • Provide the right perspective
  • Enable making informed decisions



Euromatech is a Knowledge & Human Development Authority (KHDA) approved training institute in Dubai, licensed and approved to deliver training courses in the UAE.

The KHDA is the regulatory authority in the UAE, that oversees administering, approving, supervising, and controlling the activities of various education providers in the UAE.  We are proud of our commitment to ensuring quality training courses and status as a KHDA-approved training provider.

Taught by our team of highly qualified trainers, our KHDA approved training courses will provide you with an enriching learning experience and practical knowledge that will help you future-proof your career and support professional development within your organisation.

Training Objectives

On completion of this online training course participants will be able to:

  • Use Simple methods to Analyze data with Power BI and gain Insights
  • Automate manual reporting processes with Power BI
  • Make reports available to stakeholders online
Training Outline
Day 1: Starting with Power BI
  • Downloading Power BI Desktop
  • Power BI Interface
  • Importing Data to Power BI
  • Understanding the Power Query User Interface
  • Transforming Data with Power Query
  • Some Examples and overview of POWER BI
Day 2: Data Preparation
  • Data Models, Facts and Dimensions Data
  • Intro to Transforming Data with Power Query Continued
  • M Scripts and Loading Data to Power BI
  • Editing Queries and Refreshing Data
  • Power Query Transformation
  • Introduction to Data Preparation
  • Using Append method to combine Excel Worksheets
  • Using Workbook Property Method to combine Excel Worksheets
  • Comparing Append & Workbook Property Consolidation Methods
  • Consolidating Clean Excel Workbooks from a Folder
  • Consolidating un-clean Excel Workbooks from a Folder
Day 3:  Adding and Formatting Charts
  • Formatting Power BI Charts
  • Adding a new chart to the canvass
  • Sorting a Visual
  • Filtering a page with Filters Pane and Using Slicers
  • Controlling Visual Interactions on the Canvass
Day 4: Data Analysis Expressions (DAX)
  • Introduction to DAX
  • Using CALENDARAUTO() to generate a Calendar Table
  • Using FORMAT() Function to add Month, Year and Quarter Columns
  • Connecting the Calendar Table to the Fact Table
  • Using the MONTH() Function to Create a Custom Sort Column
  • Writing simple Aggregation Measure
  • Aggregation Measures
  • CALCULATE() function
  • Creating a shell table to keep Measures
  • Writing Time Intelligence Formulas - the PREVIOUSMONTH() Function
  • Calculating Month on Month Variance
  • Using the REMOVEFILTERS() function and Calculating Percentage share
  • Using SAMEPERIODLASTYEAR() to calculate SPLY Values
  • Automatic Measures with Quick Measures
Day 5: Visualizing Measures
  • Customizing the Report Theme
  • Creating a Report Page Template
  • Visualizing Monthly Revenue vs SPLY on a Line Chart
  • Creating a Forecast from a Line Chart
  • Visualizing Monthly Variance with a Waterfall Chart
  • Creating a Matrix Table report with Data Bars
  • Creating a simple Donut Chart
  • Visualizing Current & Previous Period with Clustered Bar Chart
  • Visualizing Changes in ranking over time with Ribbon Chart





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