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Duration
12 Weeks
Mode
Hybrid
Audience
Everyone
Certificate
Verified

Turn raw data into meaningful insights with Power BI, data visualization, DAX, and interactive dashboards — essential skills for modern data analytics and business intelligence.

The Power BI & Business Intelligence Fundamentals (Data Analysis, DAX & Dashboards) program at ITA Academia is a practical, project-based training track designed to help students analyse data, build interactive reports, and support data-driven decision-making. Through guided instruction and hands-on projects, students learn to connect data sources, clean and transform datasets, develop data models, create compelling visualizations, and present business insights using Microsoft Power BI.

What makes this course different

  • Project-based learning: Work with practical datasets and build interactive dashboards and reports for your portfolio.
  • Hands-on data analysis: Learn to clean, transform, model, and analyse data using Power Query, relationships, and DAX.
  • Business-focused reporting: Turn complex datasets into clear visual insights that support informed business decisions.
  • Career-oriented skills: Develop practical capabilities relevant to data analytics, business intelligence, reporting, and dashboard development.

By the end of this course you will be able to

  • Connect Power BI to different data sources and import datasets.
  • Clean and transform data using Power Query.
  • Build data models and establish relationships between tables.
  • Write DAX measures and calculated columns for analysis.
  • Create interactive dashboards, charts, filters, and reports.
  • Analyse business performance using KPIs and meaningful visualizations.
  • Publish and share reports using Power BI Service, subject to account and licensing access.
  • Develop portfolio-ready projects using real-world business scenarios.

Practical Projects & Portfolio

Students practise data cleaning, data modeling, KPI development, and interactive reporting through hands-on exercises. They work towards creating portfolio-ready dashboards based on business scenarios such as sales performance, financial reporting, customer analysis, and operational performance.

Certification

Students who meet ITA Academia's applicable course completion requirements receive an ITA Academia Certificate of Completion. Practical projects help demonstrate the data analysis and reporting skills developed during the programme.

What you will learn

  • Connect and import data from multiple sources.
  • Clean and transform datasets using Power Query.
  • Build data models and manage table relationships.
  • Write DAX formulas and measures for data analysis.
  • Create interactive dashboards and professional reports.
  • Visualize data using charts, KPIs, and filters.
  • Analyse business performance and identify trends.
  • Publish and share Power BI reports.
  • Build portfolio-ready business intelligence projects.

Who should attend

  • Beginners with no prior Power BI experience who want to learn data analytics from scratch.
  • Students interested in data analysis and business intelligence.
  • Professionals seeking to improve reporting and analytical skills.
  • Business owners and entrepreneurs who want data-driven insights.
  • Accountants and finance professionals interested in dashboard reporting.
  • Excel users looking to advance into Power BI.
  • Aspiring data analysts and business intelligence professionals.
  • Marketing, sales, and operations professionals who work with data.

Prerequisites

Beginners can join; no prior Power BI experience is required. Basic computer skills and familiarity with spreadsheets are helpful. A laptop or computer capable of running Power BI Desktop. A stable internet connection for learning resources and online activities. Willingness to practise data analysis and complete hands-on projects. A Windows computer is recommended because Power BI Desktop is primarily a Windows application.

Course curriculum · 0 modules

Curriculum details will be published soon. Contact admissions for the full outline.

Instructor details will be announced with the batch schedule.

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