Power Bi for Big Data Analysis and Dashboard Reporting

The "Power BI for Big Data Analysis and Dashboard Reporting" course is designed for individuals who have intermediate knowledge of Power Query and Power Pivot and want to expand their skills in leveraging Power BI for big data analysis and dashboard reporting. Power BI is a powerful business intelligence tool that enables users to connect to various data sources, transform data using Power Query, create advanced data models with Power Pivot, and design interactive dashboards for data visualization and reporting. This course covers beginner to advanced topics in Power BI, enabling participants to perform comprehensive big data analysis and create impactful dashboard reports. The training duration is two weeks, providing in-depth coverage of Power BI functionalities

Advanced 0(0 Ratings) 0 Students enrolled English
Created by Revocatus Balthazar
Last updated Mon, 17-Jul-2023
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Course overview

The "Power BI for Big Data Analysis and Dashboard Reporting" course is designed for individuals who have intermediate knowledge of Power Query and Power Pivot and want to expand their skills in leveraging Power BI for big data analysis and dashboard reporting. Power BI is a powerful business intelligence tool that enables users to connect to various data sources, transform data using Power Query, create advanced data models with Power Pivot, and design interactive dashboards for data visualization and reporting. This course covers beginner to advanced topics in Power BI, enabling participants to perform comprehensive big data analysis and create impactful dashboard reports. The training duration is two weeks, providing in-depth coverage of Power BI functionalities.

Learning Objectives and Expected Outcomes:

By the end of the course, participants are expected to:

  1. Understand the fundamentals of Power BI and its role in big data analysis and reporting.
  2. Gain proficiency in connecting to various data sources and transforming data using Power Query.
  3. Create advanced data models with Power Pivot for complex analysis scenarios.
  4. Design interactive visualizations and reports using Power BI Desktop.
  5. Utilize advanced features of Power BI, such as DAX calculations and custom visuals.
  6. Develop dynamic and interactive dashboards for data exploration and reporting.

Apply advanced techniques in Power BI for big data analysis and handling large datasets

What will i learn?

  • Introduction to Power BI and Data Connectivity
  • • Overview of Power BI and its capabilities in big data analysis and reporting
  • • Connecting to various data sources (Excel, databases, cloud services, etc.)
  • • Transforming and shaping data using Power Query in Power BI
  • Advanced Data Modeling with Power Pivot
  • • Creating advanced data models with Power Pivot
  • • Implementing relationships, hierarchies, and calculations in Power Pivot
  • • Leveraging DAX (Data Analysis Expressions) for complex data calculations
  • Building Interactive Visualizations and Reports
  • • Creating interactive visualizations (charts, tables, matrices, etc.) in Power BI Desktop
  • • Applying advanced formatting, custom visuals, and conditional formatting
  • • Developing comprehensive reports with drill-through and report pages
  • Designing Dynamic Dashboards
  • • Designing interactive and user-friendly dashboards in Power BI
  • • Utilizing slicers, filters, and bookmarks for dashboard interactivity
  • • Incorporating advanced features like Q&A, report tooltips, and buttons
  • Advanced Data Analysis Techniques
  • • Implementing advanced analytics features (forecasting, clustering, etc.) in Power BI
  • • Utilizing advanced data transformation techniques with Power Query
  • • Incorporating R or Python scripts for advanced analytics
  • Advanced Power BI Features and Administration
  • • Leveraging advanced capabilities of Power BI Service
  • • Managing data refresh schedules and configuring gateways
  • • Implementing security and sharing options in Power BI
  • Power BI Performance Optimization and Best Practices
  • • Optimizing data models and queries for improved performance
  • • Implementing data privacy and security measures in Power BI
  • • Power BI best practices for efficient development and maintenance
Curriculum for this course
0 Lessons 00:00:00 Hours
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About instructor

Revocatus Balthazar

SENIOR CONSULTANT

0 Reviews | 7 Students | 24 Courses
Big Data Analytics Software Development Accounting Advanced Excel Advanced Word Advanced PowerPoint Power Query Power Pivot Power BI Visual Basics For Applications Financial Modeling and Financial Analyst Economics...
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