Business Intelligence

Advanced Power Business Intelligence DAX & Time Intelligence Training Course

Introduction

Advanced Power Business Intelligence DAX & Time Intelligence Training Course equips professionals with in-depth knowledge and practical skills to harness the full potential of Microsoft Power BI for advanced data modeling, analytics, and visualization. Advanced Power BI DAX & Time Intelligence Training Course emphasizes mastering Data Analysis Expressions (DAX), complex time intelligence calculations, and dynamic reporting techniques to transform raw data into actionable insights. Participants will learn to optimize data models, automate reporting, and make data-driven business decisions efficiently.

Designed for analysts, business intelligence professionals, and data enthusiasts, the program combines real-world scenarios with hands-on exercises to enhance problem-solving capabilities and analytical thinking. With a focus on advanced DAX functions, time intelligence patterns, and performance optimization, learners will acquire skills to implement scalable solutions that drive strategic business outcomes.

Programme Curriculum

Advanced Power Business Intelligence DAX & Time Intelligence Training Course

Introduction

Course Objectives

Develop advanced proficiency in DAX functions and formulas for complex data analysis.
Master time intelligence calculations for comparative period reporting and trend analysis.
Create dynamic and interactive Power BI reports with enhanced visualization techniques.
Optimize Power BI data models for large datasets and high-performance analytics.
Implement calculated tables, measures, and columns effectively in enterprise scenarios.
Apply advanced filtering, row-level security, and dynamic data modeling strategies.
Integrate multiple data sources for comprehensive business insights.
Design custom DAX functions to solve unique business challenges.
Perform scenario analysis using advanced calculation patterns.
Develop automated dashboards and KPI monitoring systems.
Enhance problem-solving skills through practical case studies and real-world exercises.
Leverage time intelligence for forecasting, trend detection, and decision support.
Enable actionable insights to support data-driven strategic decisions across departments.

Organizational Benefits

Streamlined reporting processes and reduced manual intervention.
Improved decision-making through accurate time-based analytics.
Enhanced efficiency in data modeling and report generation.
Ability to identify business trends and patterns quickly.
Increased ROI by optimizing Power BI implementations.
Better collaboration across teams through centralized dashboards.
Improved data governance and reporting consistency.
Enhanced analytical capabilities of employees.
Reduction in reporting errors and improved accuracy.
Scalable solutions for enterprise-wide business intelligence needs.

Target Audiences

Business intelligence analysts seeking advanced DAX knowledge
Data analysts working with Power BI in dynamic environments
Finance and operations professionals requiring trend analysis
Reporting specialists aiming for advanced dashboard development
IT professionals supporting enterprise Power BI deployments
Managers and decision-makers requiring actionable insights
Consultants providing data solutions for multiple industries
Data enthusiasts aiming to specialize in Power BI advanced analytics

Course Duration: 5 days

Course Modules

Module 1: Advanced DAX Functions

Deep dive into CALCULATE, FILTER, and ALL functions
Understanding DAX context: row, filter, and evaluation context
Advanced aggregation techniques
Optimizing DAX calculations for performance
Troubleshooting common DAX errors
Case Study: Sales performance analysis using dynamic DAX measures

Module 2: Time Intelligence Fundamentals

Understanding time intelligence functions in DAX
Year-to-date, quarter-to-date, month-to-date calculations
Parallel period and same period last year analysis
Rolling averages and cumulative totals
Best practices for time-based calculations
Case Study: Revenue trend comparison across fiscal periods

Module 3: Calculated Tables and Columns

Difference between calculated columns and measures
Creating dynamic calculated tables
Using variables for efficient DAX formulas
Enhancing model relationships with calculated tables
Best practices for memory optimization
Case Study: Customer segmentation using calculated tables

Module 4: Advanced Filtering and Row-Level Security

Implementing row-level security in Power BI
Dynamic role-based access control
Using advanced filters in DAX queries
Security implications for enterprise datasets
Monitoring user access and compliance
Case Study: Multi-department financial reporting with RLS

Module 5: Data Modeling Optimization

Optimizing data models for large datasets
Star schema vs snowflake schema best practices
Reducing model size and improving refresh times
Hierarchies, relationships, and indexing techniques
Performance tuning using DAX Studio
Case Study: Optimizing sales database for high-performance analytics

Module 6: Advanced Visualizations

Interactive charts and drill-through reports
Custom visuals and Power BI marketplace integration
Conditional formatting and KPI indicators
Combining multiple visuals for storytelling
Best practices for dashboard design
Case Study: Executive dashboard for operational KPIs

Module 7: Scenario and Forecast Analysis

Performing “what-if” analysis in Power BI
Scenario modeling using DAX variables
Forecasting using time-series functions
Integrating external predictive models
Visualizing scenarios for decision-making
Case Study: Forecasting product demand using historical sales data

Module 8: Automating Dashboards and Reports

Scheduling refresh and automation techniques
Using Power BI Service for automated reports
Alerts and data-driven notifications
Integrating Power BI with Microsoft Power Automate
Best practices for automation governance
Case Study: Automated KPI monitoring system

Training Methodology

Instructor-led interactive sessions with real-time demonstrations
Hands-on exercises to reinforce learning through practice
Live case studies reflecting real-world business scenarios
Group discussions and peer-to-peer problem solving
Access to sample datasets and templates for practice
Personalized feedback on assignments and exercises

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

MS Word Microsoft Power BI Desktop DAX Studio and Tabular Editor

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000