🎓 Professional

Data Analysis with Power BI + AI

An intensive, hands-on program that teaches you how to analyze data using Power BI and AI to build professional dashboards, generate actionable insights, automate reports, and develop a complete analytics system ready for real-world business environments.

⏱️
24 hrs
🌐
AR/EN
🏆
Certificate
📋
1 Modules
📖
Overview
The Data Analysis using Power BI and Artificial Intelligence (Power BI + AI) program is an intensive professional training designed to help you master the full data analytics process—from understanding raw data to building a complete analytics system that supports real business decisions.

This program focuses on practical, real-world application. You will learn how to collect, prepare, model, and analyze data using Power BI, and enhance your capabilities with modern AI tools and automation techniques. Beyond creating dashboards, you will develop the ability to build meaningful KPIs, identify trends, generate insights, and support strategic planning with confidence.

Throughout the program, you will work on real business scenarios and hands-on projects that simulate actual workplace environments. This ensures you gain practical experience and build a professional portfolio that demonstrates your skills to employers or strengthens your value within your current organization.
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Learning Outcomes
  • Analyze data from multiple sources and transform it into meaningful, decision-ready insights.
  • Design and build professional interactive dashboards using Power BI.
  • Develop efficient data models that support scalable and high-performance analytics.
  • Create advanced DAX measures to calculate KPIs and business metrics accurately.
  • Apply data analysis techniques to identify trends, patterns, and performance drivers.
  • Use AI tools to accelerate analysis and automatically generate valuable insights.
  • Implement predictive analytics techniques to forecast future performance and outcomes.
  • Automate data refresh and reporting processes to improve efficiency and save time.
  • Connect Power BI to various data sources including databases, files, and APIs.
  • Transform data into clear visual stories that support strategic decision-making.
  • Build a complete end-to-end analytics solution covering the full data lifecycle.
  • Develop a professional portfolio with real-world projects ready for the job market.
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Course Content 1
01
01 — Fundamentals & Data Analysis
Complete Data Lifecycle

Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive

Extracting patterns and building KPIs from raw data

Agile methodology and Data Storytelling

💡 Task: Build your first Sales & HR Dashboard with real KPIs

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