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Quest Training

Power BI for Business Intelligence & Reporting Training Course

Builds hands-on Power BI skills, from connecting Excel and database sources and shaping data to building dashboards and reports that support better decisions.

BI · Business Intelligence & Data VisualizationAll Levels#2724ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Data, Analytics & Digital TransformationCategories:Business Intelligence & Data Visualization

Course Overview

The Power BI for Business Intelligence & Reporting Training Course provides a comprehensive, practical approach to transforming business data into meaningful insights that support informed decision-making and organizational performance. Designed for professionals who need to analyze complex information, monitor operational results, and communicate findings effectively, this course develops the skills required to use Microsoft Power BI for data analysis, interactive reporting, and business intelligence. Participants learn how to connect different data sources, prepare datasets, develop analytical models, and create visual reports that turn raw data into actionable management information. Effective business intelligence enables organizations to move beyond fragmented spreadsheets and manual reporting toward more consistent, transparent, and data-driven management practices. Power BI supports this transition by bringing information from multiple sources into structured dashboards and reports. The course explains how organizations can use these capabilities to monitor key performance indicators, identify performance gaps, evaluate trends, and provide managers and executives with timely information about business operations, financial performance, customer activity, and strategic priorities. A central component of the programme is the development of practical data preparation and modelling skills. Participants explore Power Query for data cleaning and transformation, establish relationships between datasets, and develop analytical models that support reliable reporting. They are also introduced to DAX, the expression language used in Power BI for creating calculated measures and analytical calculations. These capabilities help participants build reports that are not only visually effective but also consistent, maintainable, and aligned with business requirements. The course also emphasizes dashboard design, reporting accuracy, data interpretation, and the presentation of insights to different organizational audiences. Participants learn how to select appropriate visualizations, organize reports around business questions, apply filters and drill-down functionality, and communicate findings clearly. Through practical exercises and business scenarios, they develop reports that support operational monitoring, financial analysis, resource planning, and management reviews. By the end of the programme, participants will have a structured understanding of the Power BI reporting workflow, from identifying business requirements and preparing data to developing interactive dashboards and sharing analytical findings. The skills developed can support digital transformation initiatives, strengthen performance measurement, reduce repetitive reporting work, and improve the quality of information available to decision-makers across government entities, financial institutions, oil and gas organizations, and large corporations.

Learning Objectives

  • Analyze business reporting requirements and translate them into clearly defined Power BI dashboard and business intelligence objectives by the end of the course.
  • Connect Power BI to relevant data sources, including Excel files and supported databases, and identify the appropriate data acquisition approach for a selected reporting requirement.
  • Apply Power Query techniques to clean, transform, structure, and validate datasets before analysis.
  • Develop analytical data models by establishing suitable table relationships, defining appropriate data structures, and addressing common modelling issues.
  • Create DAX calculations and measures to support business analysis, including totals, ratios, comparisons, and time-based calculations where the data supports them.
  • Design interactive Power BI reports using appropriate charts, tables, cards, slicers, filters, and drill-down features to communicate business performance.
  • Develop dashboards that present relevant KPIs, performance trends, and exceptions in a format suitable for operational managers and executive stakeholders.
  • Evaluate data quality, calculation accuracy, and visual presentation to improve the reliability and usability of business reports.
  • Apply Power BI features to analyze financial, operational, customer, or departmental performance using realistic business scenarios.
  • Assess appropriate options for publishing, sharing, refreshing, and maintaining Power BI reports within the organization’s available environment and access permissions.

Who Should Attend

This course is designed for business intelligence analysts, data analysts, reporting specialists, management accountants, financial analysts, business analysts, performance management professionals, and professionals responsible for preparing or interpreting organizational reports. It is particularly suitable for employees who currently rely on spreadsheets or manually consolidated reports and want to develop more structured, interactive, and repeatable reporting processes using Microsoft Power BI. Managers and decision-makers from finance, operations, human resources, procurement, sales, customer service, project management, risk, compliance, and strategic planning will also benefit from understanding how Power BI dashboards can support performance monitoring and management reviews. Department heads and senior managers can use the course to improve their ability to define reporting requirements, interpret KPIs, and evaluate the information presented through business intelligence solutions. The programme is also relevant to professionals in ministries, government departments, public sector organizations, banks, financial institutions, oil and gas companies, engineering organizations, and large corporations. IT professionals, database specialists, digital transformation teams, and management information system personnel may find it useful when supporting departmental reporting requirements or collaborating with business users to develop reliable analytical solutions. Participants should have basic computer skills and familiarity with business data or spreadsheets. Prior experience with advanced analytics or programming is not essential, although basic Excel knowledge will be beneficial.

Learning Outcomes

  • Translate business questions into defined analytical requirements, reporting objectives, and appropriate Power BI visualizations.
  • Connect to suitable data sources and import or transform data using the available Power BI connectors.
  • Clean inconsistent datasets, manage missing or duplicated values, and prepare data for reliable analysis.
  • Build structured data models with appropriate relationships between tables and a clear separation of relevant data elements.
  • Write basic to intermediate DAX measures for business calculations, comparisons, and KPI monitoring.
  • Develop interactive reports that allow users to filter information, explore detailed records, and investigate performance variations.
  • Create dashboards that communicate financial, operational, and departmental results through meaningful visual representations.
  • Analyze performance trends and compare actual results with targets, budgets, historical periods, or other relevant benchmarks.
  • Validate calculations, identify data limitations, and improve confidence in the information presented to stakeholders.
  • Prepare a complete Power BI reporting solution that addresses a defined business requirement and supports a practical management decision.
  • Explain analytical findings clearly to technical and non-technical audiences using concise visual reporting and evidence-based observations.
  • Identify suitable practices for report publishing, data refresh, access management, and ongoing dashboard maintenance within the organization’s Power BI environment.

Course Outline

Day 1

Business Intelligence Fundamentals and Power BI Environment

  • Introduction to business intelligence, data-driven decision-making, and the role of Microsoft Power BI in organizational reporting.
  • Understanding the Power BI ecosystem, including Power BI Desktop, the Power BI service, and the roles of reports, dashboards, semantic models, and datasets in the reporting workflow.
  • Identifying business reporting requirements, defining key questions, and translating stakeholder needs into analytical objectives.
  • Exploring the Power BI interface, report canvas, fields, visualizations, data views, and model view.
  • Connecting to Excel workbooks, text files, and supported data sources; understanding import and DirectQuery concepts at an introductory level.
  • Reviewing data structures, data types, column properties, and common data preparation challenges.
  • Practical application: Importing a sample business dataset, reviewing its structure, and identifying the reporting questions the data can answer.
Day 2

Data Preparation, Transformation, and Modelling

  • Introduction to Power Query and its role in preparing data for business intelligence reporting.
  • Cleaning datasets by handling missing values, duplicates, inconsistent formats, incorrect data types, and unnecessary columns.
  • Transforming and combining data using filtering, splitting, merging, appending, grouping, and other relevant Power Query operations.
  • Understanding fact tables, dimension tables, and the fundamentals of organizing data for analytical reporting.
  • Creating and managing relationships between tables; understanding primary keys, foreign keys, cardinality, and filter direction.
  • Reviewing data model quality, addressing common relationship issues, and understanding the importance of consistent business definitions.
  • Practical application: Preparing multiple related datasets and developing a structured data model for an operational or financial reporting scenario.
Day 3

DAX Fundamentals and Business Performance Calculations

  • Introduction to Data Analysis Expressions (DAX) and its role in Power BI calculations.
  • Understanding the difference between calculated columns, measures, and calculated tables, including appropriate use cases.
  • Developing basic DAX expressions using common functions and operators.
  • Creating measures for totals, counts, averages, percentages, ratios, and other business performance calculations.
  • Understanding filter context and row context at a practical level, and exploring how slicers and filters affect measures.
  • Applying date tables and introductory time intelligence techniques for period comparisons where the data model supports them.
  • Practical application: Building a KPI calculation library for a sample dataset and validating the results against source data.
Day 4

Interactive Reports, Dashboard Design, and Data Analysis

  • Selecting suitable visualizations for comparisons, trends, distributions, relationships, and performance indicators.
  • Designing report pages with charts, tables, matrix visuals, cards, slicers, and filters.
  • Applying drill-down, drill-through, tooltips, cross-filtering, and other interactive reporting features.
  • Developing KPI dashboards that display actual performance, targets, variances, and trends clearly.
  • Applying visual design principles, consistent formatting, readable labels, and appropriate use of color to improve report interpretation.
  • Analyzing performance across departments, business units, locations, periods, or other relevant dimensions.
  • Practical application: Designing an interactive management dashboard and presenting key findings from the underlying data.
Day 5

Publishing, Governance, and End-to-End Reporting Workshop

  • Reviewing options for publishing reports to the Power BI service and sharing content with authorized users.
  • Understanding workspaces, access permissions, scheduled refresh, and the prerequisites for maintaining current reporting data.
  • Introduction to row-level security and the importance of restricting access to sensitive business information.
  • Establishing basic practices for report documentation, version control, calculation validation, and ongoing maintenance.
  • Identifying common reporting issues, including refresh failures, inconsistent calculations, unclear visualizations, and performance concerns.
  • Reviewing how Power BI reporting can support financial control, operational monitoring, service delivery, and organizational performance management.
  • Final workshop: Developing an end-to-end Power BI solution using a business dataset, including data preparation, modelling, DAX measures, interactive report design, KPI presentation, and a short management briefing outlining the findings and recommended actions.

Upcoming Dates

Selected date

Amsterdam · 30 Nov – 4 Dec 2026 · Classroom

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CityDatesPrice per ParticipantEarly Bird
SalalahScheduled
2 – 6 Nov 2026€5,300—
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MuscatScheduled
2 – 6 Nov 2026€5,300—
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OnlineScheduled
8 – 12 Nov 2026€1,700—
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ParisScheduled
16 – 20 Nov 2026€5,700—
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AmmanScheduled
22 – 26 Nov 2026€3,100€2,790until 2 Nov
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Sharm El-SheikhScheduled
23 – 27 Nov 2026€4,300€3,870until 2 Nov
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AmsterdamScheduled
30 Nov – 4 Dec 2026€5,400€4,860until 9 Nov
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BangkokScheduled
7 – 11 Dec 2026€6,100€5,490until 16 Nov
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BakuScheduled
7 – 11 Dec 2026€4,800€4,320until 16 Nov
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BarcelonaScheduled
14 – 18 Dec 2026€5,400€4,860until 23 Nov
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ViennaScheduled
14 – 18 Dec 2026€5,700€5,130until 23 Nov
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BerlinScheduled
21 – 25 Dec 2026€5,800€5,220until 30 Nov
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CairoScheduled
28 Dec 2026 – 1 Jan 2027€3,300€2,970until 7 Dec
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AbujaScheduled
28 Dec 2026 – 1 Jan 2027€5,100€4,590until 7 Dec
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CasablancaScheduled
4 – 8 Jan 2027€4,300€3,870until 14 Dec
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DammamScheduled
11 – 15 Jan 2027€4,200€3,780until 21 Dec
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DohaScheduled
18 – 22 Jan 2027€4,400€3,960until 28 Dec
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AccraScheduled
18 – 22 Jan 2027€5,100€4,590until 28 Dec
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DubaiScheduled
24 – 28 Jan 2027€4,400€3,960until 4 Jan
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FrankfurtScheduled
25 – 29 Jan 2027€5,800€5,220until 4 Jan
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GenevaScheduled
1 – 5 Feb 2027€6,300€5,670until 11 Jan
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BeirutScheduled
7 – 11 Feb 2027€4,000€3,600until 18 Jan
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HamburgScheduled
8 – 12 Feb 2027€5,800€5,220until 18 Jan
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IstanbulScheduled
15 – 19 Feb 2027€4,700€4,230until 25 Jan
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JeddahScheduled
21 – 25 Feb 2027€4,200€3,780until 1 Feb
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Kuala LumpurScheduled
1 – 5 Mar 2027€4,400€3,960until 8 Feb
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Cape TownScheduled
1 – 5 Mar 2027€5,100€4,590until 8 Feb
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LondonScheduled
8 – 12 Mar 2027€5,600€5,040until 15 Feb
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LisbonScheduled
8 – 12 Mar 2027€5,400€4,860until 15 Feb
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MadinahScheduled
15 – 19 Mar 2027€4,200€3,780until 22 Feb
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Available in: Istanbul · Dubai · London · Doha · Amsterdam

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