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Microsoft Power BI Advanced

About the Course
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Course Outline

The Advanced Power BI course is designed for users who already have a solid understanding of Power BI fundamentals and want to deepen their skills in analytics, data modeling, and integration with AI and machine learning.

Entry Requirements

None

What will I learn?

Advanced Analytics Techniques Create statistical summaries. Identify outliers using Power BI visuals. Group and bin data for deeper analysis. Apply clustering techniques. Conduct time series analysis. Use the “Analyze” feature and custom visuals. Apply AI Insights and Quick Insights

Data Transformation & Modeling Build comprehensive data models for advanced analytics. Understand the value of data transformation for accurate reporting. Use advanced DAX expressions and calculated tables. Manage complex relationships and cardinality.

Power BI Service & AI Integration Explore Power BI Service features including: Cognitive Services Machine Learning integration Q&A visualizations Create and publish dashboards. Use scorecards and binary prediction models to track performance

Hands-On Projects & Assessments Work with real-world datasets. Solve business problems through guided exercises. Create efficient reports and dashboards. Demonstrate learning through quizzes, assignments, and plugins

Course Assessment

Practical tasks, Exam

Career Progression

1.Power BI Developer Role: Design and maintain interactive dashboards and reports. Skills: DAX, Power Query, SQL, custom visuals. Progression: Developer → Senior Developer → BI Architect → Data Platform Lead. 2. Business Intelligence (BI) Analyst Role: Interpret complex data, track KPIs, support decision-making. Skills: Data visualization, storytelling, business domain expertise. Progression: BI Analyst → BI Manager → Director of BI → Head of Data Strategy. 3. Data Analyst Role: Clean, process, and analyze data for insights. Skills: Excel, SQL, Python (optional), Power BI. Progression: Data Analyst → Senior Analyst → Analytics Manager → Head of Analytics. 4. Power BI Consultant Role: Implement and optimize Power BI solutions for clients. Skills: Communication, project management, technical expertise. Progression: Consultant → Senior Consultant → BI Practice Lead → Freelance/Contract Specialist. 5. Data Scientist (with Power BI) Role: Use machine learning and advanced analytics, present results via dashboards. Skills: Python/R, statistics, ML, Power BI. Progression: Data Scientist → Senior Data Scientist → AI/ML Lead → Chief Data Officer. 6. Reporting Analyst Role: Automate and standardize reports across departments. Skills: SQL, report automation, dashboard design. Progression: Reporting Analyst → Reporting Manager → BI Reporting Lead.

Duration

01 August 2025 - 31 July 2026

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