Power BI Training in Singapore

SKU: 12117
7 Lesson
|
24 Hours
Advance your data analytics capability with igmGuru’s Microsoft Power BI Course in Singapore, designed to support PL-300 Certification. The program focuses on data preparation, modeling, visualization, DAX, and interactive dashboard development through structured, real-world projects. The training aligns with the PL-300 exam and builds practical skills required to analyze data and present clear business insights. Enroll to validate your competency as a Power BI professional and strengthen your career in business intelligence.

Power BI Course in Singapore Overview

Prerequisites:

  • Basic computer literacy
  • Familiarity with Windows operating system
  • Windows PC (Windows 10 or 11 recommended)
  • Power BI Desktop installed
  • Basic Microsoft Excel knowledge
  • Interest in data analysis and reporting

What Will You Learn in This Training

  1. Data preparation and transformation
  2. Data modeling techniques
  3. Data visualization and report creation
  4. Interactive dashboards and analytics
  5. Power BI Service usage
  6. Practical hands-on projects
  7. Business intelligence concepts
  8. Preparation for PL-300 certification

Who Should Do This Course

  • Aspiring data analysts
  • Existing data and BI professionals
  • Business professionals working with data
  • IT professionals
  • Career changers and upskillers
  • Job seekers aiming for BI roles

Key Features

Power BI Training in Singapore Modules

1. Introduction to Microsoft Power BI, the key features of Power BI workflow, Desktop application, BI service, and file data sources.
2. Sourcing data from web (OData, Azure), building dashboard, data visualization, publishing to cloud, DAX data computation, row context, filter context.
3. Analytics Pane, creating columns and measures, data drill down and drill up, creating tables, binned tables, data modeling and relationships
4. The Power BI components like Power View, Map, Query, Pivot, Power Q & A, understanding advanced visualization.
1. Learning about Power Query for self-service ETL functionalities, introduction to data mashup, working with Excel data, learning about Power BI Personal Gateway
2. Extracting data from files, folders and databases, working with Azure SQL database and database source
3. Connecting to Analysis Services, SaaS functionalities of Power BI.
1. Installing Power BI, the various requirements and configuration settings
2. The Power Query, introduction to Query Editor, data transformation – column, row, text, data type, adding & filling columns and number column, column formatting, transpose table, appending, splitting, formatting data
3. Pivot and UnPivot, Merge Join, relational operators, date, time calculations, working with M functions, lists, records, tables, data types, and generators.
4. Filters & Slicers, Index and Conditional Columns, Summary Tables, writing custom functions and error handling, M advanced data transformations.
1. Introduction to Power Pivot, learning about the xVelocity engine, advantages of Power Pivot, various versions and relationships, strongly typed datasets
2. Data Analysis Expressions, Measures, Calculated Members, Row, Filter & Evaluation Context, Context Interactions, Context over Relations.
3. Schema Relations, learning about Table, Information, Logical, Text, Iterator, Table, and Time Intelligence Functions, Cumulative Charts, Calculated Tables, ranking and rank over groups.
4. Power Pivot advanced functionalities, date and time functions, DAX advanced features, embedding Power Pivot in Power BI Desktop.
1. Deep dive into Power BI data visualization, understanding Power View and Power Map.
2. Power BI Desktop visualization, formatting and customizing visuals, visualization interaction.
3. SandDance visualization, deploying Power View on SharePoint and Excel, top down and bottom up analytics, comparing volume and value-based analytics
4. Working with Power View to create Reports, Charts, Scorecards, and other visually rich formats, categorizing, filtering and sorting data using Power View
5. Hierarchies, mastering the best practices, Custom Visualization, Authenticate a Power BI web application, Embedding dashboards in applications.
1. Introduction to Power Q & A, intuitive tool to answer tough queries using natural language.
2. Getting answers in the form of charts, graphs and data discovery methodologies, ad hoc analytics building
3. Power Q & A best practices, integrating with SaaS applications
1. Getting to understand the Power BI Desktop, aggregating data from multiple data sources
2. How Power Query works in Power BI Desktop environment, learning about data modeling and data relationships, deploying data gateways, scheduling data refresh.
3. Managing groups and row level security, datasets, reports and dashboards, working with calculated measures.
4. Power Pivot on Power BI Desktop ecosystem, mastering data visualization.
5. Power View on Power BI Desktop, creating real world solutions using Power BI
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Course Fees

SELF PACED LEARNING

US $ 199.00
Refund Policy
  • Duration : 24 hrs
  • Lifetime Free Upgrade
  • Reference Documents
  • 24x7 Support & Access

Online Class Room Program

US $ 299.00
100% Money Back Guarantee
  • Duration : 24 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 28 May 2026
  • Weekday Batch 01 Jun 2026
  • Weekend Batch 30 May 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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PL-300 Certification & Exam Details

igmGuru’s Power BI course is aligned to ace the Microsoft Certified: Data Analyst Associate certification exam. The exam is conducted online at test centres or proctored by Pearson VUE from the user's home or office location worldwide.

Exam details

  • Exam fee: $165 USD
  • Passing score: 70%
  • Time Duration: 120 minutes
  • Number of Questions: 40-60
  • Format: MCQs, Multi-response questions and hands-on

PL-300 Certification & Exam Details

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