INTRODUCTION
This Intermediate Data Analysis Using Power BI training course takes participants beyond the basics. With laptops at hand, participants will develop skills in data modeling, DAX, and advanced data transformations. Each day will include practical, hands-on exercises in Power BI, with a final day dedicated to a preview of advanced techniques, ensuring a seamless progression to the next level.
This GLOMACS training course will highlight:
- Data modeling fundamentals for Power BI
- DAX (Data Analysis Expressions) for calculations
- Advanced data transformation techniques
- Improved reporting and visualization strategies
- Skills to optimize data handling for analysis
Objectives
At the end of this Power BI: Intermediate Data Analysis Techniques training course, you will learn to:
- Build data models effectively
- Apply DAX functions for deeper analysis
- Transform data using Power Query
- Design intermediate-level reports and dashboards
- Prepare for advanced analytics in Power BI
Training Methodology
The Power BI: Intermediate Data Analysis Techniques training course includes a mix of hands-on practice, case studies, and practical exercises to deepen understanding of Power BI’s intermediate functionalities.
Organisational Impact
The organization will benefit by:
- Improved reporting and analytical capabilities
- Enhanced decision-making through dynamic reports
- Optimized data management processes
- Strengthening team members` analytical skills
- More efficient use of data resources
- Foundation for advanced Power BI skills
Personal Impact
At the end of this Power BI: Intermediate Data Analysis Techniques training course, participants will gain:
- Confidence in data modeling techniques
- Proficiency with DAX for analytical needs
- Skills in intermediate report design
- Advanced data transformation abilities
- Insight into efficiency practices
- Motivation for advanced Power BI training
WHO SHOULD ATTEND?
This GLOMACS training course is ideal for professionals with basic Power BI skills who want to enhance their data analysis abilities:
- Data Analysts
- Business Data Users
- Financial Analysts
- Operations Team Members
- Professionals working with data insights