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power bi advanced course

Data Analytics

power bi advanced course

Mastering Power BI: Advanced Techniques and Insights

power bi advanced course

The Power BI Advanced Course is designed for individuals who already have a foundational understanding of Power BI and wish to deepen their analytical skills and proficiency in the tool. This course covers advanced topics such as complex data modeling, DAX (Data Analysis Expressions) for intricate calculations, custom visuals, and advanced reporting techniques. Participants will learn to optimize performance, implement data governance, and create dynamic dashboards and interactive reports that cater to specific business needs. Additionally, the course may include best practices for data visualization and storytelling with data, enabling learners to extract insights and make data-driven decisions effectively. Overall, this advanced training equips users with the tools and knowledge to leverage Power BI to its fullest potential in a professional environment.

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1 - Deep Dive into Data Modeling: Explore advanced techniques for building data models, including star and snowflake schemas, relationships, and normalization.

2) DAX (Data Analysis Expressions) Mastery: Learn advanced DAX functions for creating complex calculations, enhancing data analysis capabilities.

3) Advanced Visualization Techniques: Discover how to create custom visualizations, use bookmarks, and advanced slicer features to enhance report interactivity.

4) Performance Optimization: Understand strategies to optimize report performance, including data model tuning and efficient DAX query writing.

5) Row Level Security: Implement row level security to control data access based on user roles, ensuring data privacy and security in reports.

6) Power Query Advanced Transformations: Explore advanced data transformation techniques in Power Query, including M language for custom functions.

7) Integrating Power BI with Other Services: Learn how to connect Power BI with various data sources, including SQL Server, SharePoint, and Azure services for dynamic reporting.

8) Publishing & Distribution: Understand the processes for publishing reports and dashboards to the Power BI service, including sharing and collaboration features.

9) Utilizing Power BI Apps: Explore how to create and manage Power BI apps for distributing content to larger audiences effectively.

10) Advanced Analytics Features: Engage with AI features in Power BI, such as Quick Insights, Forecasting, and clustering to analyze data trends more profoundly.

11) Custom Visuals Development: Learn basics of creating custom visuals using Power BI developer tools and integrating them into your reports.

12) Paginated Reports: Understand how to create and use paginated reports for detailed, print ready reporting needs.

13) Hybrid Data Models: Gain insight into using composite models and DirectQuery for improved data handling across multiple sources.

14) Dataflows in Power BI: Learn how to set up and manage dataflows for reusable ETL processes that can serve multiple datasets and reports.

15) Collaboration and Governance: Learn best practices for collaboration in Power BI, including governance strategies and managing user access efficiently.

16) Real world Project Case Studies: Work on case studies that simulate real world business scenarios, allowing students to apply their skills in practical contexts.

17) Hands on Workshops: Participate in hands on workshops where students can work on real datasets to solidify their learning through practice.

18) Preparing for Certification: Get guidance on how to prepare for relevant Power BI certifications, including review of exam content and study strategies.

19) Networking Opportunities: Create a professional network with fellow students and instructors that can provide support and collaboration beyond the course.

This comprehensive training program would equip students with the advanced skills and knowledge necessary to excel in using Power BI for data analysis and visualization.

 

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