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Data Analysis with Power BI

Data Analysis with Power BI

1 Weeks
Professional Level
Certificate Included
Course Content

Available Events

Available Events
CityDatePriceStatus
Kuala LumpurMalaysia
September 17, 2026
€4,400
Confirmed date
LisbonPortugal
September 18, 2026
€4,400
Confirmed date
ParisFrance
September 19, 2026
€4,600
Confirmed date
GenevaSwitzerland
September 28, 2026
€4,600
Confirmed date
OnlineOnline
October 2, 2026
€1,790
Confirmed date
SingaporeSingapore
October 16, 2026
€4,800
Confirmed date
DubaiUnited Arab Emirates
October 23, 2026
€3,900
Confirmed date
IstanbulTurkey
October 28, 2026
€3,900
Confirmed date
AmsterdamNetherlands
November 17, 2026
€4,600
Confirmed date

Course Information

Duration

1 Weeks

Category

Training & Development

Level

Professional Level

Certificate

Included

INTRODUCTION

Modern organizations depend on accurate data analysis to understand performance, identify opportunities, and respond quickly to business challenges. Power BI has become one of the most effective tools for transforming complex datasets into interactive reports and visual dashboards. This course introduces participants to the full data analysis process, from importing data to creating meaningful insights that support management decisions. The program emphasizes practical learning, allowing participants to apply concepts directly through hands-on exercises and realistic business examples. Participants explore data cleaning, data modeling, calculated measures, visualization principles, dashboard design, and report publishing. The course also highlights the importance of asking the right business questions before building analytical reports. Learners will understand how to structure data properly, avoid common reporting mistakes, and present findings in a clear and persuasive way. The training is designed for professionals who want to strengthen analytical capability without unnecessary technical complexity. It provides a complete foundation for using Power BI as a professional business intelligence and data visualization solution.

COURSE OBJECTIVES

Participants will achieve the following objectives by this course:

  • Understand the role of Power BI in modern business intelligence and data analysis.
  • Connect Power BI to multiple data sources and import structured business data.
  • Clean, transform, and prepare data using Power Query for reliable analysis.
  • Build effective data models that support accurate reporting and relationships.
  • Create calculated columns, measures, and analytical formulas using DAX fundamentals.
  • Design professional dashboards that communicate insights clearly and visually.
  • Apply best practices for charts, filters, slicers, and interactive report navigation.
  • Analyze business performance using practical financial, operational, and sales scenarios.
  • Publish, share, and manage Power BI reports for organizational decision-making.
  • Improve data storytelling skills to present insights with clarity and business impact.

TARGET AUDIENCE

This program targets a professional audience seeking to improve knowledge and skills:

  • Business analysts responsible for reporting, dashboards, and performance analysis.
  • Managers seeking stronger visibility into operational and strategic performance.
  • Finance professionals working with budgets, revenue, costs, and financial indicators.
  • Sales and marketing teams analyzing customers, campaigns, pipelines, and targets.
  • Human resources professionals tracking workforce, recruitment, and performance data.
  • Operations teams monitoring processes, productivity, service quality, and efficiency.
  • Project managers needing visual reports for progress, risks, and deliverables.
  • Administrative professionals who prepare recurring reports for senior leadership.
  • Data beginners seeking a practical introduction to business intelligence.
  • Professionals transitioning from spreadsheets to interactive Power BI dashboards.

COURSE OUTLINE

Day 1: Foundations of Data Analysis and Power BI

  • Understanding business intelligence and data-driven decision-making principles.
  • Exploring Power BI components and professional reporting workflows.
  • Identifying business questions before starting analytical report design.
  • Connecting Power BI to spreadsheets, databases, and online data sources.
  • Importing data and reviewing tables, fields, and data types.
  • Understanding common data quality issues affecting business analysis.
  • Navigating Power BI Desktop interface and core working areas.
  • Building a simple first report using basic visual elements.
  • Applying basic formatting to improve report readability and structure.

Day 2: Data Cleaning and Transformation with Power Query

  • Understanding the importance of clean data for accurate analysis.
  • Using Power Query Editor to inspect and transform datasets.
  • Removing duplicates, errors, blanks, and irrelevant columns.
  • Splitting, merging, replacing, and standardizing business data fields.
  • Changing data types and preparing dates for time-based analysis.
  • Combining multiple tables from similar or different data sources.
  • Creating reusable transformation steps for consistent reporting processes.
  • Applying practical cleaning techniques to real business reporting scenarios.
  • Loading prepared data into Power BI for analysis and modeling.

Day 3: Data Modeling and Analytical Calculations

  • Understanding data models, relationships, and analytical structure.
  • Creating relationships between fact tables and dimension tables.
  • Applying star schema principles for reliable Power BI reporting.
  • Managing cardinality, filter direction, and relationship behavior.
  • Creating calculated columns for classification and business logic.
  • Building basic DAX measures for totals, averages, and comparisons.
  • Using time intelligence concepts for monthly and yearly analysis.
  • Validating calculations to ensure reporting accuracy and consistency.
  • Organizing fields and measures for professional report development.

Day 4: Dashboard Design and Data Visualization

  • Selecting the right visual for each analytical question.
  • Designing clean dashboards focused on clarity and decision-making.
  • Creating charts, tables, cards, maps, and performance indicators.
  • Adding slicers, filters, drill-downs, and interactive report navigation.
  • Applying visual hierarchy, layout balance, and consistent formatting.
  • Using conditional formatting to highlight trends, risks, and exceptions.
  • Building executive dashboards for financial and operational performance.
  • Improving dashboard usability for managers and non-technical users.
  • Applying data storytelling techniques to communicate insights effectively.

Day 5: Publishing, Sharing, and Business Application

  • Reviewing complete Power BI reports for quality and accuracy.
  • Publishing reports to the Power BI service environment.
  • Understanding workspaces, dashboards, reports, and sharing options.
  • Managing refresh settings and scheduled data updates.
  • Applying basic security concepts and controlled report access.
  • Creating final business dashboards using integrated case study data.
  • Presenting insights and recommendations based on analytical findings.
  • Discussing common Power BI implementation challenges and solutions.
  • Building a personal action plan for workplace application.

COURSE DURATION

Duration: 1 Weeks

Duration: 5 days. Format: Classroom, online, or blended delivery. The course can be delivered as an intensive professional program or adapted into shorter modular sessions according to organizational needs, participant experience, and business reporting priorities.

INSTRUCTOR INFORMATION

The training will be delivered by a team of experts specialized in data analysis, business intelligence, dashboard design, performance reporting, and professional Power BI implementation, with practical experience in transforming organizational data into actionable insights for executives, managers, and operational teams.

FREQUENTLY ASKED QUESTIONS

Yes, the course starts with core concepts and gradually builds practical Power BI skills.

CONCLUSION

Data Analysis with Power BI provides participants with practical skills to transform data into clear business insights. The course strengthens reporting capability, analytical thinking, dashboard design, and professional data communication. Participants leave with the confidence to build interactive reports that support better decisions across departments. Organizations benefit from improved reporting efficiency, stronger performance visibility, and more reliable business intelligence practices. This program is an ideal foundation for professionals seeking to use Power BI effectively in modern data-driven environments.

Data Analysis with Power BI

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