Power BI Advanced
Program Information
- 🎓 Delivery Method:
- On-site (available now, on demand)
- Remote (live, on demand)
- Online (self-paced, coming soon)
- ⏳ Duration:
- 3 days, 4 hours per day
- Custom options available for internal teams
- 🧩 Format:
- Interactive workshops
- Hands-on exercises
- 👨🎓 Maximum Participants:
- 12 per session (to ensure personalized interaction)
- 📋 Course Requirements:
- No prior technical background required.
- 📅 Scheduling:
- Flexible scheduling available on demand
- 📞 Contact to Schedule:
- 📧 training@vizacta.com
Course Description
Power BI Advanced Mastery: Expert-Level DAX & Data Modeling for Business Insights is a comprehensive training program designed for experienced Power BI users who want to take their skills to the highest level. This course focuses entirely on Power BI Desktop, delivering deep technical knowledge in data modeling, DAX, Power Query, and interactive visual design.
You will learn how to build powerful analytical models, write efficient and complex DAX measures, optimize performance for large datasets, and design dashboards that provide real business impact. Through hands-on labs, real-world scenarios, and expert tips, you will elevate your reporting and analysis capabilities to match the needs of advanced analytical teams and enterprise-grade projects.
Whether you’re aiming to become a senior BI developer, analytics engineer, or just want to unlock Power BI’s full potential, this course will give you the skills and confidence to create scalable, optimized, and insightful analytics solutions.
What You Will Learn
- Design advanced data models using star, snowflake, and composite schemas
- Master complex DAX logic including row, filter, and evaluation context
- Create custom time intelligence functions for fiscal calendars and rolling metrics
- Build advanced analytical patterns for segmentation, variance, and forecasting
- Use DAX Studio and Performance Analyzer to tune model performance
- Automate data cleansing and transformation using advanced Power Query techniques
- Develop dynamic, interactive dashboards using bookmarks, tooltips, and visuals
- Apply real-world business logic through case studies across sales, finance, and marketing
- Write clean, efficient, and reusable DAX with advanced functions and best practices
Course Content
- Designing efficient star and snowflake schemas
- Handling role-playing dimensions using USERELATIONSHIP
- Managing many-to-many and weak relationships
- Building composite models and mixed granularity data
- Using calculated tables and relationships for flexibility
- Understanding row, filter, and evaluation context
- Using CALCULATE with ALL, REMOVEFILTERS, and KEEPFILTERS
- Creating dynamic calculations with iterators and ranking
- Building virtual tables using ADDCOLUMNS, SUMMARIZE, and FILTER
- Handling semi-additive metrics and complex time logic
- Creating custom calendar tables for time intelligence
- Calculating YTD, MTD, QTD, rolling averages, and YoY growth
- Handling non-standard fiscal years and multiple date fields
- Using DAX to shift dates and compare time periods dynamically
- Developing slicers and filters for relative time analysis
- Customer segmentation with RFM and cohort analysis
- Top N reporting with dynamic thresholding
- Dynamic currency conversion and benchmarking
- Scenario modeling and What-If analysis with parameters
- Variance and contribution analysis for KPIs
- Analyzing DAX performance using DAX Studio
- Improving query speed with variable usage and FILTER simplification
- Optimizing column cardinality and model compression
- Avoiding common pitfalls (bidirectional filters, too many visuals)
- Profiling and testing model changes with Performance Analyzer
- Designing layered query logic with staging queries
- Using parameters and custom M functions
- Transforming nested JSON, XML, and APIs in Power Query
- Using advanced joins, pivoting, unpivoting, and merging logic
- Profiling and debugging complex data transformations
- Using bookmarks, tooltips, and drillthrough for interactivity
- Creating dynamic visual titles and labels using DAX
- Implementing synced slicers, buttons, and navigation flows
- Working with advanced visuals like decomposition trees and KPIs
- Designing dashboards for readability and responsiveness
- Using variables and comments to structure DAX cleanly
- Choosing between IF, SWITCH, and nested logic
- Applying COALESCE, HASONEVALUE, and SELECTEDVALUE correctly
- Debugging DAX step-by-step using intermediate measures
- Building reusable DAX templates for time, ranking, and KPIs
- Building a multi-brand sales dashboard with dynamic filtering
- Developing a financial model with YoY, growth, and variances
- Creating a customer retention dashboard using cohort logic
- Modeling inventory flow with semi-additive measures
- Crafting a marketing funnel with DAX-driven KPIs