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Course Outline
Power BI Architecture
Data Sources
- Connecting on-premises and cloud-based data sources
- Data transformation techniques using M language
Modeling
Table Relationships (including single and multidirectional data filtering)
- DAX Mastery - Grasping syntax and applying best practices
- Foundations of DAX
- Essential functions and calculation contexts
- Time intelligence features (covering fiscal periods, period comparisons, and YTD calculations)
- Utilizing filter functions effectively
Visualizations
- Conducting interactive data analysis
- Choosing the most appropriate visualization type
- Applying filters, grouping data, and managing exclusions
- Creating geospatial visualizations on maps
Collaboration in Power BI
- Building and managing Dashboards and Reports
- Q & A Session
Requirements
Target Audience for Maximum Benefit:
- Business Analysts: Professionals requiring data analysis and visualization capabilities to support strategic decision-making.
- Data Analysts: Specialists seeking to build dynamic, interactive reports and dashboards from raw data.
- Managers/Team Leads: Leaders responsible for overseeing key performance indicators (KPIs) and monitoring business metrics.
- Professionals interested in enhancing their skills in data visualization and analytics.
Key Learning Outcomes:
- Comprehensive understanding of Power BI architecture, diverse data sources, and transformation processes.
- Advanced proficiency in establishing table relationships and leveraging DAX functions.
- Expertise in designing high-impact visualizations and user-friendly dashboards.
- Solid familiarity with collaboration tools and report sharing features.
7 Hours
Testimonials (2)
How to use relationships in Power BIand the differences between columns and measurements
LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics
Method of training.
