Professional training course · PSM-004
Business Intelligence with Power BI
The Business Intelligence with Power BI training course is designed to give participants a thorough understanding of Business Intelligence (BI) concepts while equipping…
- 5 daysClassroom
- 16Upcoming dates
- 11Cities
- £2,250Fees from
Course overview
Course Overview
The Business Intelligence with Power BI training course is designed to give participants a thorough understanding of Business Intelligence (BI) concepts while equipping them with practical skills to use Power BI for data visualization, analysis, and reporting. As a leading BI tool, Power BI allows users to connect, transform, and visualize data in impactful ways that support informed business decision-making. Through hands-on exercises, participants will learn how to create interactive reports and dashboards that bring data to life, making Power BI an indispensable tool for data-driven organizations.
Course Objectives
By the end of this training course, participants will be able to:
- Understand core BI concepts and the importance of data-driven decision-making
- Navigate the Power BI interface and utilize its features for data transformation and visualization
- Import and clean data from multiple sources to prepare it for analysis
- Create interactive and visually engaging dashboards and reports
- Apply DAX (Data Analysis Expressions) to enhance analytical capabilities within Power BI
- Share insights and collaborate effectively using Power BI Service and Power BI Mobile
- Understand and implement data security and governance within Power BI
Designed for
This training course is suitable to a wide range of professionals but will greatly benefit:
- Business analysts, data analysts, and data scientists who want to leverage BI tools for enhanced analytics
- Professionals from various industries who work with data and seek to improve their data reporting skills
- Decision-makers who wish to create data-driven strategies for their organization
- IT and finance professionals responsible for creating or managing reports and dashboards
- Anyone interested in improving data visualization and storytelling skills with Power BI
Learning Methods
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
Course outline
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1Day One: Introduction to Business Intelligence and Power BI Fundamentals
- Overview of Business Intelligence and its role in decision-making
- Introduction to Power BI components: Power BI Desktop, Power BI Service, and Power BI Mobile
- Power BI interface and navigation basics
- Connecting to data sources (Excel, SQL Server, web sources, etc.)
- Data import techniques and understanding data types
- Hands-on: Setting up Power BI Desktop and importing sample datasets
-
2Day Two: Data Transformation and Preparation Using Power Query
- Introduction to Power Query and its ETL (Extract, Transform, Load) functions
- Data cleaning techniques: handling missing data, removing duplicates, filtering
- Data transformation: merging, appending, pivoting, and unpivoting data
- Creating calculated columns and tables for enhanced analysis
- Practical exercise: Transforming raw data into a structured format using Power Query
-
3Day Three: Data Modeling and DAX Basics
- Importance of data modeling and relationships in BI
- Creating and managing data relationships in Power BI
- Introduction to DAX (Data Analysis Expressions) and its functions
- Calculated columns vs. measures
- Essential DAX functions: SUM, AVERAGE, COUNT, CALCULATE, and FILTER
- Building hierarchies and creating time intelligence in Power BI
- Hands-on practice: Developing a data model and applying basic DAX expressions
-
4Day Four: Visualizing Data with Power BI
- Choosing the right visual for data representation: tables, charts, maps, and gauges
- Customizing visuals and formatting options for impactful storytelling
- Interactive features: slicers, filters, and drill-through for dynamic reporting
- Creating interactive dashboards with KPI indicators and scorecards
- Best practices for designing intuitive and effective reports
- Hands-on session: Building a fully interactive dashboard using sample data
-
5Day Five: Publishing, Sharing, and Power BI Service
- Publishing reports to the Power BI Service and setting up workspaces
- Understanding and managing user roles and permissions
- Creating and managing datasets, reports, and dashboards in the cloud
- Introduction to Power BI Mobile for on-the-go access to reports
- Collaboration and sharing options: sharing dashboards, embedding, and export options
- Data security and governance in Power BI: Row-level security, data refresh, and scheduling
- Hands-on exercise: Publishing a report and sharing it with stakeholders
Schedule
Dates and fees
16 upcoming dates in 11 cities. Fees are per delegate; bring colleagues and every seat is discounted.
No dates in this city right now. Request a quotation and we will suggest the nearest date.
Questions
Frequently asked questions
How long is the Business Intelligence with Power BI course?
The course runs over 5 days of classroom training, usually Monday to Friday.
When is the next Business Intelligence with Power BI course?
The next public date is 16 - 20 Nov 2026 in Barcelona. There are 16 upcoming dates in total.
Where is this course held?
Upcoming sessions run in Barcelona, Vienna, Amsterdam, Istanbul, Paris, Munich, Kuala Lumpur, Geneva, Cape Town, Dubai, London.
How much does the course cost?
Fees start from £2,250 per delegate, depending on the city. Fees include tuition and course materials.
Do participants receive a certificate?
Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.
Can this course be delivered in-house for our team?
Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.
Course information last updated 14 November 2026.
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