Microsoft Power BI Data Analyst

Course Overview

This practical training program equips participants with the skills required to transform raw data into meaningful business insights using Microsoft Power BI. Participants will learn how to connect and prepare data, create effective data models, develop DAX calculations, design interactive reports, and publish secure dashboards that support informed decision-making.

What You Will Learn

By the end of the program, participants will be able to:

Understand the Power BI ecosystem and data analysis workflow.
Connect Power BI to multiple data sources.
Clean and transform data using Power Query.
Design efficient data models and manage relationships.
Create calculated columns, measures, and KPIs using DAX.
Apply time-intelligence functions to analyze performance trends.
Build professional and interactive reports.
Present data through effective visualization and storytelling.
Publish, share, and refresh reports in Power BI Service.
Develop a complete, portfolio-ready business intelligence project.

Who Should Attend

Aspiring data analysts and business intelligence professionals.
Business analysts and reporting specialists.
Excel users seeking advanced data visualization skills.
Finance, sales, marketing, HR, and operations professionals.
Managers responsible for performance monitoring and reporting.
University students and recent graduates pursuing data-related careers.
Professionals preparing for Power BI certification or analyst roles.

Course Curriculum

Module 1: Power BI Fundamentals and Data Connection

Explore Power BI Desktop, Power BI Service, and the reporting workflow.
Define business requirements, KPIs, and analytical questions.
Connect to Excel, CSV, databases, web pages, and cloud-based sources.
Profile source data and identify data-quality issues.

Module 2: Data Preparation with Power Query

Clean, filter, format, and standardize imported data.
Handle missing values, errors, duplicates, and inconsistent entries.
Merge, append, group, pivot, and unpivot datasets.
Create reusable transformation steps for automated data refresh.

Module 3: Data Modeling and DAX

Build star-schema models using fact and dimension tables.
Configure relationships, cardinality, and filter directions.
Create calculated columns and measures using DAX.
Develop aggregations, ratios, KPIs, and time-intelligence calculations.

Module 4: Data Visualization and Interactive Reporting

Select appropriate charts and visuals for different business questions.
Apply visual hierarchy, consistent formatting, and data storytelling.
Use slicers, filters, drill-down, drill-through, tooltips, and bookmarks.
Optimize reports for usability, performance, accessibility, and mobile viewing.

Module 5: Publishing, Security, and Portfolio Project

Publish reports and manage content in Power BI Service.
Configure scheduled refresh and understand data gateway requirements.
Apply sharing permissions and row-level security.
Build and present an end-to-end interactive business dashboard.

Ready to Take the Next Step?

Submit your request today, and our team will contact you with the available schedule and delivery options.

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Course Details

Course Fee

199$ per participant

Course Duration

5 days — 25 training hours

Delivery Method

Live Online Training, In-Person Training

Training Language

English and Arabic are Available

Course Level

All Levels