Power BI for Business Analytics

Programme Summary

Business analytics needs consistent definitions, reliable data models and reports that support clear decisions. This programme introduces Power BI Desktop workflows for preparing data, building relationships, writing foundational DAX measures and designing interactive reports. Participants develop a small business analytics solution, reconcile reported values and explain the access, refresh and sharing considerations required before a report is used operationally.

Training Objectives

1 Develop practical understanding of the Power BI workflow; 2 Improve data preparation and semantic modelling discipline; 3 Build accurate business measures using foundational DAX; 4 Strengthen interactive report design and analytical communication; 5 Promote validation and responsible sharing of business reports.

Learning Outcomes

1 Prepare clean tables using documented Power Query steps; 2 Create appropriate relationships within a simple star model; 3 Write DAX measures for defined business reporting questions; 4 Build an interactive report with useful filtering behaviour; 5 Validate reported totals and explain refresh access requirements.

Target Audience

Business Analysts; Reporting Analysts; Finance Analysts; Operations Analysts; Quality Performance Officers; Planning Specialists.

Target Industries

Manufacturing; Retail; Financial Services; Healthcare Administration; Logistics; Professional Services.

Course Contents

• Module 1 Power BI and Business Questions: Desktop service and semantic model roles; Business questions and report user requirements; Import mode and supported source considerations.
• Module 2 Connecting and Profiling Data: Connecting to Excel and CSV sources; Column quality distribution and data types; Source credentials and appropriate access boundaries.
• Module 3 Data Transformation: Cleaning values and handling missing information; Renaming splitting and removing unnecessary columns; Recording repeatable Power Query transformation steps.
• Module 4 Combining Data Sources: Appending comparable data across reporting periods; Merging tables using validated business keys; Checking row counts and unexpected duplication.
• Module 5 Semantic Model Design: Facts dimensions and simple star schemas; Relationship cardinality and filter propagation; Date tables and consistent reporting granularity.
• Module 6 DAX Foundations: Measures compared with calculated columns; Basic aggregation and safe division measures; Filter context and business calculation definitions.
• Module 7 Business Measures and Validation: Selected period and comparison measures; Checking totals across dimensions and filters; Documenting measure assumptions and calculation limitations.
• Module 8 Report Layout and Visual Choice: Audience tasks and clear report hierarchy; Choosing visuals for trends and comparisons; Readable labels formatting and accessibility considerations.
• Module 9 Interactive Report Behaviour: Slicers filters and visual interactions; Drillthrough navigation and useful report tooltips; Testing interactions against intended analytical questions.
• Module 10 Report Quality and Performance: Reconciling report outputs with source totals; Removing unnecessary data and inefficient visuals; Checking usability errors and ambiguous information.
• Module 11 Publishing Refresh and Access: Service workspaces and sharing permission concepts; Refresh ownership gateways and data source credentials; Row level security concepts and testing responsibilities.
• Module 12 Business Analytics Case: Completing a small report from supplied data; Explaining findings assumptions and known limitations; Preparing a controlled report handover checklist.

Assessment

• 60 single best answer questions, including applied scenarios; one mark per question.
• 90 minute invigilated digital examination with identity verification. Approved accessibility adjustments preserve the assessed competence.
• Written exam closed book; practical permits Power BI Desktop and supplied DAX references. Internet and AI assistance prohibited.
• Individual applied assessment (45 minutes): Complete a partly prepared Power BI file using supplied sales and reference tables. Correct transformations, establish one relationship, create two measures and build a report page. Reconcile totals and explain one access or refresh requirement.
• Assessment criteria: Accuracy of transformations relationships and DAX measures; Completeness of reconciliation and model validation; Usability of the report and clarity of handover considerations.
• Pass each component separately: 45/60 written marks (75%) and at least 70% on the applied task.
• Individual results and feedback are provided. One reassessment may follow coaching under the published enrolment terms.

Certification

• Successful learners receive a TQCSI Arabia digital Certificate of Successful Completion.
• The certificate records the learner name, exact programme title, teaching hours, completion date and unique verification reference.
• Verified identity, full attendance and separate written and applied passes are required; all mandatory critical criteria must be met.
• Proposed issue target: within 30 calendar days of approved results and settlement of applicable fees.
• Records assessed Power BI analysis and reporting skills; it does not confer software vendor certification or production publishing authority.
• Attendance confirmation may record completed hours for unsuccessful learners; it does not certify successful completion.

Programme Profile

Number of daysNumber of daysNumber of days

333

Total teaching hoursTotal teaching hoursTotal teaching hours

18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.

Delegates allowedDelegates allowedDelegates allowed

Maximum 16 delegates.Maximum 16 delegates.Maximum 16 delegates.

Training prerequisitesTraining prerequisitesTraining prerequisites

Spreadsheet data analysis and basic table concepts are required. No prior Power BI experience is necessary; familiarity with aggregations and business measures is recommended.Spreadsheet data analysis and basic table concepts are required. No prior Power BI experience is necessary; familiarity with aggregations and business measures is recommended.Spreadsheet data analysis and basic table concepts are required. No prior Power BI experience is necessary; familiarity with aggregations and business measures is recommended.

Pre course assignment and assessmentPre course assignment and assessmentPre course assignment and assessment

Complete a 30 minute data literacy diagnostic and install the specified Power BI Desktop release using the supplied readiness instructions.Complete a 30 minute data literacy diagnostic and install the specified Power BI Desktop release using the supplied readiness instructions.Complete a 30 minute data literacy diagnostic and install the specified Power BI Desktop release using the supplied readiness instructions.

End of course assessmentEnd of course assessmentEnd of course assessment

60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).

Passing criteriaPassing criteriaPassing criteria

75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.