Master Power BI Analytics & Dashboards with DAX

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Master Power BI Analytics & Dashboards with DAX

Coursera · Advanced ·📊 Data Analytics & Business Intelligence ·1mo ago
Skills: BI Tools95%
Learners will analyze business data, design interactive dashboards, build efficient data models, apply DAX calculations, and optimize Power BI solutions using industry best practices. This comprehensive course takes learners from the fundamentals of Microsoft Power BI to advanced analytics and DAX mastery. Starting with Power BI concepts, architecture, and data import, the course progressively builds skills in data modeling, transformation with Power Query, and visual analytics. Learners gain hands-on understanding of relationships, cardinality, and performance considerations, followed by deep dives into dashboards, apps, security, sharing, and automation. The course culminates with strong coverage of DAX functions, optimization techniques, cheat sheets, and productivity tips aligned with real-world business scenarios. Learners benefit by developing job-ready Power BI skills that are immediately applicable in business intelligence, data analysis, and reporting roles. The structured, module-based approach ensures gradual skill progression, reinforced through practice quizzes and graded assessments. What makes this course unique is its end-to-end coverage—from beginner to advanced—combined with a strong focus on best practices, governance, and real-world usability rather than isolated features. By completion, learners can confidently design, optimize, and maintain scalable Power BI solutions for professional environments.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

BI plus process mining for Insurance: seeing variants, bottlenecks, conformance,+B87 and recovery economics
Combine Business Intelligence (BI) with process mining to optimize insurance processes, identifying variants, bottlenecks, and conformance issues
Dev.to · Ananthapathmanabhan A
I built web analytics with no dashboard, only an MCP
Learn how to build a web analytics tool with a minimalistic approach, using an MCP and AI-powered summaries, to gain insights without a traditional dashboard
Dev.to · Henrik Holen
Why is data science important?
Data science is crucial in today's data-driven world, enabling informed decisions and strategic actions across industries
Medium · Data Science
SQL to Python: The Exact Transition Every BA Needs to Make
Learn how to transition from SQL to Python for data analysis and science, a crucial skill for business analysts
Medium · Data Science
Up next
Google Analytics 4: Smart Rules for Beginners and Analysts
Coursera
Watch →