Course Overview

The Power BI Course is designed to equip learners with the skills and techniques needed to create data-driven reports and visualisations using Microsoft Power BI. Participants will explore Power BI’s features, including data import, data transformation, dashboard creation, and data visualisation. The course also covers how to use Power BI for real-time reporting and integrating data from multiple sources. By the end of the course, learners will be able to develop comprehensive reports and dashboards that support data-driven decision-making.

 

Prerequisites

  1. A basic understanding of data analysis and Microsoft Excel is recommended.

Target Audience

 This course is ideal for business analysts, data professionals, and managers who want to enhance their skills in data reporting and visualisation using Power BI. It is   also suitable for anyone looking to learn how to use Power BI to support data-driven decision-making.

Course Highlights

  • Learn how to create and manage data reports using Microsoft Power BI.
  • Develop skills in data import, transformation, and modelling with Power BI.
  • Explore techniques for building interactive dashboards and visualisations.
  • Gain hands-on experience in connecting to various data sources and using real-time data.
  • Understand how to share reports and collaborate using Power BI Service.

Course Objectives

By the end of this course, learners will be able to:

  • Use Microsoft Power BI to connect to various data sources and transform data for analysis.
  • Create and manage data models using DAX expressions for advanced calculations.
  • Develop interactive visualisations and dashboards that support data-driven decision-making.
  • Share reports and collaborate with stakeholders using Power BI Service.
  • Use Power BI’s real-time reporting features to monitor business performance.
  • Apply data cleansing and transformation techniques to prepare data for analysis.
  • Use Power BI’s visualisation tools to create interactive charts, graphs, and KPIs.
  • Implement advanced Power BI features such as R and Python integration for deeper analytics.
  • Integrate Power BI with other Microsoft tools for automation and enhanced functionality.
  • Ensure data security and governance using Power BI’s security features.

Course Outline

 

Instructional Methods: Group discussions on Power BI features, practical exercises in understanding the Power BI interface, and case studies on Power BI usage.

Topics Covered:

  • What is Power BI? Overview and key features.
  • Understanding the Power BI ecosystem: Power BI Desktop, Power BI Service, and Power BI Mobile.
  • Key components: Reports, datasets, and dashboards.
  • Exploring the Power BI interface: Navigating and customising.
  • The role of Power BI in business decision-making.

Instructional Methods: Hands-on exercises in importing and transforming data, group discussions on data preparation, and case studies on real-world data management.

Topics Covered:

  • Connecting to data sources: Excel, databases, cloud services, and web data.
  • Using Power Query for data transformation.
  • Data cleansing: Removing duplicates, handling missing data, and formatting.
  • Combining and merging data from multiple sources.
  • Creating relationships between data tables.

Instructional Methods: Practical exercises in data modelling and writing DAX (Data Analysis Expressions), group discussions on advanced data manipulation, and case studies on using DAX for analysis.

Topics Covered:

  • Introduction to data modelling in Power BI: Tables, relationships, and hierarchies.
  • Understanding DAX: Basics of calculated columns, measures, and functions.
  • Writing DAX expressions for data calculations and aggregations.
  • Time intelligence functions in DAX: Year-to-date, quarter-to-date, and rolling averages.
  • Using DAX to create complex business metrics.

Instructional Methods: Hands-on exercises in creating visualisations, group discussions on choosing the right charts, and case studies on visualising complex data.

Topics Covered:

  • Visualisation best practices: Choosing the right chart type for your data.
  • Creating interactive charts, graphs, and maps in Power BI.
  • Building slicers, filters, and drill-throughs to enhance interactivity.
  • Using conditional formatting and custom visuals.
  • Creating KPIs and scorecards for performance tracking.

Instructional Methods: Practical exercises in building dashboards, group discussions on sharing and collaboration, and case studies on Power BI Service usage.

Topics Covered:

  • Designing effective dashboards in Power BI.
  • Publishing reports and dashboards to Power BI Service.
  • Sharing reports with stakeholders and setting permissions.
  • Using Power BI for real-time reporting: Streaming data and live dashboards.
  • Collaborating with teams using Power BI Workspaces.

Instructional Methods: Hands-on exercises in exploring advanced features, group discussions on integrating Power BI with other tools, and case studies on Power BI integrations.

Topics Covered:

  • Using Power BI with other Microsoft tools: Excel, Power Automate, and Power Apps.
  • Advanced analytics in Power BI: R and Python integration.
  • Creating automated reports with Power BI and Power Automate.
  • Security features: Row-level security (RLS) and data protection.
  • The future of Power BI: AI features and predictive analytics.

Certification

A certificate of completion will be awarded upon successful completion of the course.

Course Fees

$788 $488

Trainer

Clarence Tan - Senior Data Analyst - APAC Lead

Clarence Tan

Senior Data Analyst - APAC Lead

Clarence is a data analytics specialist with nearly a decade of experience in banking, technology, and real estate. He leads data-driven projects in credit risk and customer analytics, improving performance and mitigating risks. A certified coach and educator, Clarence has trained over 1,000 students in data analytics and data science.

View Full Trainer Profile

Power BI

Empower Your Business with Power BI Expertise

Apply Now

Register for the Power BI Course

Empower Your Business with Power BI Expertise

Oops! We could not locate your form.